research papers in hindi language

The Anveshan: A Multidisciplinary Journal in Hindi [Peer Reviewed Journal *** ISSN: 2581-4044 (online)]

The Anveshan: A Multidisciplinary Journal in Hindi  is a peer review, open access journal that provides multidisciplinary platform for those academicians, researchers and young scientists to promote, share & discuss research & innovation done on any area related to science, technology, management, arts, medical, pharmacy and engineering, who have done good contribution in form of research in their respective domains to scientific community but hesitate to come forward to publish their work because of not having good command in English language.  The  Anveshan is an attempt to motivate those researchers from multidisciplinary backgrounds & bring them together to publish their articles in Hindi/Hinglish language. 

General approaches, formalism's, algorithms or techniques should be complemented with lucid illustrations allowing easy comprehension and subsequent suitable applicability. Although the main emphasis of The   Anveshan is on original research papers, theoretical and integrative review articles, book reviews, and high-quality position papers are also published to keep readers up-to-date on the latest ideas, designs, and developments in these allied fields. Special review articles will be granted consideration based on the stage of evolvement of their respective fields.

All manuscripts submitted in  The   Anveshan  are pre-reviewed by the editor, and if found appropriate, they are sent for a blind peer review. All the manuscripts are critically reviewed before they are published. Contributions must be original, not previously or simultaneously published elsewhere. Papers, which must be written in Hindi/Hinglish, should have proper grammar and terminologies. 

We warmly invite you to submit your manuscripts to  Anveshan and share the results of your endeavor with other researchers accross the globe.

Focus & Scope

The Anveshan: A Multidisciplinary Journal in Hindi  covers all the key issues on any area related to science, technology, management, arts, medical, pharmacy and engineering including: 

All possible branches of science including: earth & space science, social science, life science, physical science and formal science and their domains like Astrophysics, Astronomy, Astrogeology, Astronautics, Analytical Chemistry, Biochemistry, Biology, Botany, Chemistry, Cellular Biology, Electrochemistry, Electromagnetics, Functional Biology, Geology, Geochemistry, Geoscience, Inorganic Chemistry, Kinetics, Mechanics, Mathematics, Meteorology, Organic Chemistry,  Physics, Physical Chemistry, Paleontology, Psychology, Sociology, Thermodynamics, Zoology.

Engineering and Technology

Astronautics, Aeronautics, Agricultural, Aircraft Maintenance, Architecture, Automation, Biological Engineering, Biomedical, Bio-Technology, Chemical, Civil, Computer Science, Computer, Control System, Communication, Earthquake, Electrical, Electronics, Communication, Engineering Mathematics, Environmental, Fire Protection, Food Technology, Forensic Science, Genetic, Industrial Engineering, Information Technology, Instrumentation, Image Processing, Manufacturing, Maintenance, Marine Engineering, Mechatronics, Material Science, Mechanical, Military, Mining, Nanotechnology, Nuclear, Ocean Engineering, Operations Research, Petroleum Engineering, Plastic, Polymer, Production, Reverse Engineering, Robotics, Software, Soft Computing, Structural, System Design, Telecom, and Textile Engineering.

Management and Commerce

Accounting and Financial Analysis, Business for Professionals, Business Environment, Business Laws, Business processes management, business statics, Continuous improvement, Company Accounting, Cost Accounting, Creating marketing orientation, Database Management System, E-business, E-management practices, Energy Management, Entrepreneurship Development, Enterprise, Ethics & CSR, Finance, Foreign Exchange Economics, financial Institution and services, Financial planning and analysis, Financing business, General management, Government policy on Companies, Hospitality Management, Human Resource, Human Resource management, Industrial Relations and labour Enactment, Information technology, Industrial Law, Infrastructure finance, Instilling creativity, International business, International marketing, Insurance and Risk Management, Logistics, Managing business relationships, Managing globalisation and work, place, Managing learning and improvement, Marketing, market of services, marketing research, Operations Management, Negotiation and counselling, Operation research, Organization Behaviour Studies, Personal growth and Training & development, sales and distribution management, Strategic Management, Supply chain management, Procurement, Production and operation, Quality management, Rural Management, Research Methodology, Restructuring Business management, Retail Management, security Analysis, Social impact of business, Strategy, Supply chain management, Tax planning, Team building and Leadership, Tourism Management, Travel management, working capital.

Anthropology, Archaeology, Business Studies, Communication Studies, Corporate Governance, Corporate Organization, Criminology, Cross Cultural Studies, Demography, Development Studies, Economics, Education, Educational Research, English, Literature, Entrepreneurship, Geography, History, Human Tribes, Industrial Relations, Information Science, International Relations, International Studies, Law, Legal Management, Library Science, Linguistics, Literature, Local Languages, Media Studies, Music, Paralegal Studies, Paralegal, Performing Arts ( i.e. Dance Theatre and Music), Philosophical Research, Philosophy, Physical Geography, Physical Education, Political Science, Population Studies, Psychology, Public Administration, Publications and Advertising, Regional, Planning and Studies, Social Welfare, Sociology, Special Education, Sport Management, Visual Arts, Women Studies

Medical Science

Alternative Medicine, Cardiology, Critical Care medicine, Dentistry, Dermatology, Emergency Medicine, Endocrinology, Gastroenterology, Geriarrics, Gynaecology, Hematology, Hepatology, Infectious Disease, Internal Medicines, Neurology, Nephrology, Obstetrics, Oncology, Ophthalmology, Orthopaedics, Otorhinolaryngology, Pathalogy, Pediatrics, Preventive Medicine, Psychiatry, Pulmonoogy, Radiology, Sports Medicine, Rheumatology, Surgery, Urology. 

Sample Author Certificate

Important Navigation

For Authors

For Editors

For Reviewers

Why Publish With US

Current Issue

Editorial Team

Copyright Form

Library Recommendation Form

Sample Paper

Publication Ethics

Publication Policy

Important Notic

Attention to Authors

Call for Paper For coming issue of "The Anveshan: A Multidisciplinary Journal in Hindi [ISSN: 2581-4044 (online)]"

Sentiment analysis of Hindi language text: a critical review

• Published: 11 November 2023
• Volume 83 , pages 51367–51396, ( 2024 )

Cite this article

• Simran Sidhu 1 ,
• Surinder S. Khurana 1 ,
• Munish Kumar 2 ,
• Parvinder Singh 1 &
• Sukhvinder S. Bamber 3  

316 Accesses

Explore all metrics

Sentiment analysis involves extracting sentiments from various forms of text, including customer reviews, tweets, blogs, and news clips expressing opinions on diverse subjects, even populist events. The advent of tools supporting regional languages has resulted in a substantial surge of regional language texts. As Hindi ranks fourth in terms of native speakers, the development of sentiment analysis mechanisms for Hindi text becomes crucial. This paper provides a comprehensive review of specific approaches used in Hindi sentiment analysis, encompassing negation handling and the evolution of SentiWordNet for the Hindi Language. Moreover, it offers an overview of available Hindi lexicons and insights into diverse stemmers and morphological analyzers designed for the language. Additionally, the paper conducts an in-depth literature review of various sentiment analysis tasks carried out in Hindi, thereby opening avenues for future research in sentiment analysis and opinion mining in the Hindi language.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save.

• Get 10 units per month
• Download Article/Chapter or eBook
• 1 Unit = 1 Article or 1 Chapter
• Cancel anytime

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

Similar content being viewed by others

A Survey on Sentiment Analysis in Persian: a Comprehensive System Perspective Covering Challenges and Advances in Resources and Methods

A survey of sentiment analysis in the Portuguese language

Urdu Sentiment Analysis: A Review

Explore related subjects.

• Artificial Intelligence

Data availability

No datasets were generated or analysed during the current study.

Akhtar MS, Ekbal A, Bhattacharyya P (2016) Aspect based sentiment analysis in Hindi: resource creation and evaluation. Proceedings of International Conference on Language Resources and Evaluation (LREC), 2703–2709

Ambati BR, Husain S, Jain S, Sharma DM, Sangal R (2010) Two methods to incorporate 'Local Morphosyntactic' features in Hindi dependency parsing. Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages, 22–30

Arora P (2013) Sentiment analysis for Hindi language. MS by Research in Computer Science. International Institute of Information Technology, Hyderabad

Google Scholar  

Bahuguna A, Talukdar L, Bhattacharyya P, Singh S (2014) HinMA: Distributed morphology based hindi morphological analyzer. Proceedings of the 11th International Conference on Natural Language Processing, 69–75

Bakliwal A, Arora P, Patil A, Varma V (2011) Towards enhanced opinion classification using NLP techniques. Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), 101–107

Bakliwal A, Arora P, Varma V (2012) May. Hindi subjective lexicon: A lexical resource for hindi polarity classification. Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC), 1189–1196

Balamurali AR, Joshi A, Bhattacharyya P (2012) Cross-lingual sentiment analysis for indian languages using linked wordnets. In Proceedings of COLING 2012: Posters, 73–82

Bansal N, Ahmed UZ (2013) Sentiment Analysis in Hindi. Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur, India, pp 1–10

Basile V, Cauteruccio F, Terracina G (2021) How dramatic events can affect emotionality in social posting: The impact of COVID-19 on Reddit. Future Internet 13(2):29

Article   Google Scholar  

Bharati A, Sangal R, Bendre S, Kumar P, Aishwarya KR (2001) Unsupervised improvement of morphological analyzer for inflectionally rich languages. Proceedings of Natural Language Processing Pacific Rim Symposium, 685–692

Bhardwaj MK, Kumar B (2016) Opinion mining of social media data using machine learning techniques. Int J Innov Res Technol 3(1):43–49

Bhatia TK (1995) Negation in South Asian Languages. Indian Institute of Language Studies, Patiala, India

Bose R, Dey RK, Roy S, Sarddar D (2019) Analyzing political sentiment using Twitter data. In Information and Communication Technology for Intelligent Systems: Proceedings of ICTIS 2018, vol. 2. Springer Singapore, p 427–436

Chen A, Gey FC (2003) Generating statistical Hindi stemmers from parallel texts. ACM Trans Asian Language Inform Process 2(3)

Chu CT, Takahashi R, Wang PC (2005) Classifying the sentiment of movie review data, pp 1–13

Das A, Bandyopadhyay S (2010a) Sentiwordnet for Bangla. Knowledge Sharing Event-4: Task 2:1–8

Das A, Bandyopadhyay S (2010b) SentiWordNet for Indian languages. In Proceedings of the eighth workshop on Asian language resouces 56–63

Das D, Poria S, Bandyopadhyay S (2012) A classifier based approach to emotion lexicon construction. Proceedings of International Conference on Application of Natural Language to Information Systems, 320–326

Desai N, Dave AD (2016) Sarcasm detection in Hindi sentences using support vector machine. Int J Adv Res Comput Sci Manage Stud 4(7):8–15

Devika M, Sunitha C, Ganesh A (2016) Sentiment analysis: a comparative study on different approaches. Procedia Comput Sci 87:44–49

Dutta K, Kaushik S, Prakash N (2011) Machine learning approach for the classification of demonstrative pronouns for Indirect Anaphora in Hindi News Items. Prague Bull Math Linguist 95:33–50

Ganguly D, Leveling J, Jones GJ (2013) DCU@ Morpheme extraction task of FIRE-2012: Rulebased stemmers for Bengali and Hindi. In Proceedings of the 4th and 5th Annual Meetings of the Forum for Information Retrieval Evaluation, p 1–5

Ghosh A, Dutta I (2014) Real-time Sentiment Analysis of Hindi Tweets. Proceedings of 35th Conference of the Linguistic Society of Nepal, 1–8

Goyal V, Lehal GS (2008) Hindi morphological analyzer and generator. Proceedings of First International Conference on Emerging Trends in Engineering and Technology, 1156–1159

Gupta H, Sharma P (2015) Simulation of opinion mining in Hindi language based on natural language processing. Int J Innov Res Comput Commun Eng 3(4):3132–3137

Gupta V (2014) Hindi rule based stemmer for nouns. Int J Adv Res Comput Sci Softw Eng 4(1):62–65

MathSciNet   Google Scholar  

Gupta V, Jain N, Shubham S, Madan A, Chaudhary A, Xin Q (2021) Toward Integrated CNN- based Sentiment Analysis of Tweets for Scarce-resource Language—Hindi. Trans Asian Low-Resour Lang Inf Process 20(5):1–23

Guru KP (1952) Hindi vyakaran. NagariPracharini Sabha, Varanasi

Huang C, Han Z, Li M, Wang X, Zhao W (2021) Sentiment evolution with interaction levels in blended learning environments: Using learning analytics and epistemic network analysis. Australas J Educ Technol 37(2):81–95. https://doi.org/10.14742/ajet.6749

Islam MZ, Uddin MN, Khan M (2007) A light weight stemmer for Bengali and its Use in spelling Checker

Jain A, Das S (2013) Hindi Stemmer@ FIRE-2013. Post-Proceedings of the 4th and 5th Workshops of the Forum for Information Retrieval Evaluation, 1–13

Jain D, Kumar A, Garg G (2020) Sarcasm detection in mash-up language using soft-attention based bi- directional LSTM and feature-rich CNN. Appl Soft Comput 91:106198

Jha V, Manjunath N, Shenoy PD, Venugopal KR (2016) Sentiment analysis in a resource scarce language: Hindi. Int J Sci Eng Res 7(9):968–980

Jha V, Manjunath N, Shenoy PD, Venugopal KR, Patnaik LM (2015). Homs: Hindi opinion mining system. In 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS). IEEE 366–371

Jhanwar MG, Das A (2018) An Ensemble Model for Sentiment Analysis of Hindi-English Code-Mixed Data. Proceedings of 1st Workshop on Humanizing AI (HAI), 1–7

Joshi A, Balamurali AR, Bhattacharyya P (2010) A fall-back strategy for sentiment analysis in Hindi: a case study. Proceedings of the 8th International Conference on Natural Language Processing (ICON), 1–6

Kachru Yamuna (1980) Aspects of Hindi grammar. Manohar Publications, New Delhi

Karra AK (2010) WordNet Linking. Master of Technology Dissertation, CSE Department, IIT Bombay

Kumar A, Siddiqui T (2008) An Unsupervised Hindi Stemmer with Heuristics Improvements. Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 99–105

Kumar A, Kohail S, Ekbal A, Biemann C (2015) IIT-TUDA: System for sentiment analysis in Indian languages using lexical acquisition. Proceedings of International Conference on Mining Intelligence and Knowledge Exploration, 684–693

Kumar R, Ramotra AK, Mahajan A, Mansotra V (2020) Design and implementation of rule- based hindi stemmer for hindi information retrieval. In: Smart Trends in Computing and Communications. Proceedings of SmartCom. Springer, Singapore, pp 115–122

Lahiri U (1998) Focus and negative polarity in Hindi. Nat Lang Semant 6(1):57–123 ( Larkey )

Li L, Wu X, Kong M, Liu J, Zhang J (2023a) Quantitatively interpreting residents happiness prediction by considering factor-factor interactions. IEEE Trans Comput Soc Syst. https://doi.org/10.1109/TCSS.2023.3246181

Li L, Wang P, Zheng X, Xie Q, Tao X,... Velásquez JD (2023b) Dual-interactive fusion for code-mixed deep representation learning in tag recommendation. Inf Fusion: 101862. https://doi.org/10.1016/j.inffus.2023.101862

Li Y, Qi X, Saudagar AKJ, Badshah AM, Muhammad K, Liu S (2023) Student behavior recognition for interaction detection in the classroom environment. Image and Vision Computing 104726

Liu S, He T, Li J, Li Y, Kumar A (2023a) An effective learning evaluation method based on text data with real-time attribution-a case study for mathematical class with students of junior middle school in China. ACM Trans Asian Low-Resour Lang Inf Process 22(3):1–22

Liu X, Shi T, Zhou G, Liu M, Yin Z, Yin L,... Zheng W (2023b) Emotion classification for short texts: an improved multi-label method. Humanit Soc Sci Commun 10(1):306. https://doi.org/10.1057/s41599-023-01816-6

Larkey LS, Connell ME, Abduljaleel N (2003) Hindi CLIR in thirty days. ACM Trans Asian Lang Inf Process (TALIP) 2(2):130–142

Maheshwari S, Gupta P, Dhabhai R (2017) Localized sentiment analysis using random walk algorithm in hindi. Review of Business and Technology Research 14(1):70–76

Majumder P, Mitra M, Parui SK, Kole G, Mitra P, Datta K (2007) YASS: Yet another suffix stripper. ACM Trans Inf Syst (TOIS) 25(4):18-es

Malakar PK, Dwivedi PK, Kashyap A (2015). Sentiment classification of hindi language using natural language processing techniques. International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) 39–42

Medagoda N, Shanmuganathan S, Whalley J (2013) A comparative analysis of opinion mining and sentiment classification in non-English languages. Proceedings of International Conference on Advances in ICT for Emerging Regions, 144–148

Miller GA, Beckwith R, Fellbaum C, Gross D, Miller KJ (1990) Introduction to WordNet: An on-line lexical database. Int J Lexicogr 3(4):235–244

Mishra D, Venugopalan M, Gupta D (2016) Context specific lexicon for Hindi reviews. Procedia Comput Sci 93:554–563

Mishra U, Prakash C (2012) MAULIK: an effective stemmer for Hindi language. Int J Comput Sci Eng 4(5):711–717

Mittal N, Agarwal B, Chouhan G, Bania N, Pareek P (2013) Sentiment analysis of Hindi reviews based on negation and discourse relation. Proceedings of the 11th Workshop on Asian Language Resources, 45–50

Morph (2001) Hindi Morphological Analyser. Language Technologies Research Centre, IIIT, Hyderabad, India

Mukherjee S, Bhattacharyya P (2012) Sentiment analysis in twitter with lightweight discourse analysis. Proc COLING 2012:1847–1864

Mukherjee S (2012) Sentiment analysis-a literature survey, June 2012. Indian Institute of Technology, Bombay. Roll (10305061):1.

Mulatkar S (2014) Sentiment classification in Hindi. Int J Sci Technol Res 3(5):204–206

Narayan D, Chakrabarti D, Pande P, Bhattacharyya P (2002) An experience in building the indo Wordnet-a Wordnet for Hindi. Proceedings of First International Conference on Global WordNet, 1–7

Nie W, Bao Y, Zhao Y, Liu A (2023) Long dialogue emotion detection based on commonsense knowledge graph guidance. IEEE Trans Multimed. https://doi.org/10.1109/TMM.2023.3267295

Pande BP, Tamta P, Dhami HS (2014) A Devanagari script-based stemmer. Int J Comput Linguist Res 5(4):119–130

Pandey P, Arora R (2012) Cross-Lingual Word Sense Disambiguation using Wordnets and Context based Mapping

Pandey P, Govilkar S (2015) A framework for sentiment analysis in Hindi using HSWN. Int J Comput Appl 119(19):23–26

Pang B, Lee L, Vaithyanathan S (2002) Thumbs up? sentiment classification using machine learning techniques. Proceedings of the ACL-02 Conference on Empirical methods in natural language processing, 10:79–86

Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retrieval 2(1–2):1–135

Patra BG, Das D, Bandyopadhyay S (2013) Automatic music mood classification of Hindi songs. Proceedings of the 3rd Workshop on Sentiment Analysis where AI meets Psychology, 24–28

Patra BG, Das D, Bandyopadhyay S (2015) Mood classification of Hindi songs based on lyrics. Proceedings of the 12th International Conference on Natural Language Processing, 261–267

Patra BG, Das D, Das A, Prasath R (2015) Shared task on sentiment analysis in indian languages (sail) tweets-an overview. Proceedings of International Conference on Mining Intelligence and Knowledge Exploration, 650–655

Ramanathan A, Rao DD (2003) A lightweight stemmer for Hindi. Proceedings of Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp 1–6

Rudra K, Rijhwani S, Begum R, Bali K, Choudhury M, Ganguly N (2016) Understanding language preference for expression of opinion and sentiment: What do Hindi-English speakers do on twitter? Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 1131–1141

Se S, Vinayakumar R, Kumar MA, Soman KP (2015) AMRITA-CEN@ SAIL2015: sentiment analysis in Indian languages. Proceedings of International Conference on Mining Intelligence and Knowledge Exploration, 703–710

Shrestha H, Dhasarathan C, Munisamy S, Jayavel A (2020) Natural language processing based sentimental analysis of Hindi (SAH) script an optimization approach. Int J Speech Technol 23(4):757–766

Sharma G (2001) Negative modality in Hindi. Annali di Ca'Foscari. Serieorientale, XL (3):131–149

Sharma R, Nigam S, Jain R (2014) Polarity detection movie reviews in Hindi language. Int J Comput Sci Appl (IJCSA) 4(4):49–57

Sharma A, Ghose U (2020) Sentimental analysis of twitter data with respect to general elections in India. Prog Comput Sci 173:325–334

Shrivastava K, Kumar S (2020) A sentiment analysis system for the Hindi language by integrating gated recurrent unit with genetic algorithm. Int Arab J Inf Technol 17(6):954–964

Singh JP, Rana NP, Alkhowaiter W (2015) Sentiment analysis of products’ reviews containing English and Hindi texts. Proceedings of Conference on e-Business, e-Services and e-Society, 416–422

Sinha M, Reddy MK, Bhattacharyya P, Pandey P, Kashyap L (2003) Hindi word sense disambiguation. Proceedings of International Symposium on Machine Translation. Natural Language Processing and Translation Support Systems 1–7

Wang S, Huang S, Liu S, Bi Y (2023) Not just select samples, but exploration: Genetic programming aided remote sensing target detection under deep learning. Appl Soft Comput 145:110570

Yadav M, Bhojane V (2015) Sentiment analysis on Hindi content: a survey. Int J Innov Adv Comput Sci (IJIACS) 4(12):14–21

Yadav A, Yadav R, Pal S (2012) ISM@ FIRE-2012 adhoc retrieval and morpheme extraction task. Post proceedings of FIRE-2012, 1–11

Zhang X, Huang D, Li H, Zhang Y, Xia Y,... Liu J (2023) Self-training maximum classifier discrepancy for EEG emotion recognition. CAAI Trans Intell Technol. https://doi.org/10.1049/cit2.12174

Download references

Author information

Authors and affiliations.

Department of Computer Science & Technology, Central University of Punjab, Bathinda, Punjab, India

Simran Sidhu, Surinder S. Khurana & Parvinder Singh

Department of Computational Sciences, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, India

Munish Kumar

Department of Computer Science and Engineering, University Institute of Engineering & Technology, Panjab University S.S.G. Regional Centre, Hoshiarpur, Punjab, India

Sukhvinder S. Bamber

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Munish Kumar .

Ethics declarations

Conflict of interest.

Authors declared that they have no conflict of interest in this work.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Sidhu, S., Khurana, S.S., Kumar, M. et al. Sentiment analysis of Hindi language text: a critical review. Multimed Tools Appl 83 , 51367–51396 (2024). https://doi.org/10.1007/s11042-023-17537-6

Download citation

Received : 05 October 2021

Revised : 13 September 2023

Accepted : 16 October 2023

Published : 11 November 2023

Issue Date : May 2024

DOI : https://doi.org/10.1007/s11042-023-17537-6

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Sentiment analysis
• Opinion mining
• Machine learning
• Natural language processing
• Negation handling
• Hindi language
• Find a journal
• Publish with us
• Track your research

IEEE Account

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

• We're Hiring!
• Help Center

Revisiting the Making of Hindi as a ‘National’ Language

Related Papers

Zenodo (CERN European Organization for Nuclear Research)

Sandhya Tiwari

Language Spread and Language Policy ed by Peter H. Lowenberg, Georgetown University Roundtable (GURT) 1987

S. N. Sridhar

critical paper on the perspectives of Hindi language

DrJagannadha V Reddy

GLOBALISATION AND HINDI Globalization in true sense is not a challenge but an opportunity for every nation to keep pace with the progressing world. India is also not an exception to this. From the age- old centuries India is known for its rich and varied culture and heritage. From Vedic period to present computer age India is known for its fascinating traditions and culture. Because of this rich culture India is best known as “Karma Bhoomi”, “Gnana Bhoomi”, “Land of Action“ and “Land of Wisdom”. ‘Unity in diversity’ and ‘Diversity in unity’ are the two dimensions of Indian culture. Culture includes language also, which is believed to be the communication tool. Hindi is also one such age-old Indian language, which has got its origin from ‘Prakrit’, ‘Pali’, and ‘Apabhramsa’ sequentially. As India is marching ahead and globalization phenomenon influencing all walks of life, Indian languages are also passing through new circumstances. Especially in a country like India where divergent cultures and different languages exist, it is very important for people to have a common communicative or link language. With this vision only our constitution builders have given the status of link language to Hindi. Hindi is spoken and understood by more then 60% population of India. So it can serve as a link language. With the implementation of official language act in 1949 Hindi was made as ‘Official and State language’ of India. Since then September 14th is celebrated as Hindi day. Even though it was given the status of state language its implementation and usage is not satisfactory till today. With the advent of globalization English is suppressing Hindi and other Indian languages. But with rich literary treasure and cultural uniqueness Hindi as well as other Indian languages are showing their presence. In fact it is a concept developed to bring down the economic inequalities between the nations. Globalization gives wide range of opportunities in the field of economy. As India is very big market with over hundred crore population it is very essential for all the multinational companies to give equal importance to Hindi and other Indian languages to take hold off the Indian market. With the impact of globalization Hindi is also influenced very much and we can see the impact on Hindi following areas namely 1. Teaching of Hindi 2. Use of Hindi field of communication, 3.Use of Hindi in technological applications, 4. Use of Hindi in Media.

Sandeep Sharma

From Southern Theory to Decolonizing Sociolinguistics: Voices, Question and Alternatives.

Jaspal Naveel Singh

Mohammad Sajjad

This discussion paper attempts at making a re-appraisal of some of the works on linguistic identity politics around Hindi-Urdu-Hindustani, in twentieth century India. It calls into question certain assumptions about Urdu. It argues that Urdu, contrary to common perceptions, was shedding its Persianization and its literature was drawing upon local imageries. Urdu’s anti-colonial and anti-separatist articulations have been highlighted. It underlines that marginalization of Urdu in late-colonial and post-colonial India was more because of majoritarian discriminations. Gandhiji’s project of ‘Hindustani’ and the inclusive nationalism of the Congress, threw inadequate weight behind the project. They were rather inclined more towards Hindi, and some important leaders of the Congress, more particularly in UP, were not only pro-Hindi but also anti-Urdu. The exclusion of the Hindustani from the broadcast plan of the All India Radio, by 1944-45, and the ill-fated Hindustani Prachar Sabha (1942) testify the majoritarian assertion of Hindi against Urdu. It further argues that Urdu was wrongly vilified to have played role in dividing India; this perception held in popular as well as academic domain, had its bearings upon the fate of Urdu in sovereign India.

Contemporary Issues in Languages and Humanities An International Peer-reviewed Journal

Chavan Dilip

Kasturi Sinha

The present research paper entitled as 'Literature Instilling about the Decline of Hindi Language' discusses an issue which has been highlighted in the selected Bollywood films. It is to be said that the films show mirror to the cultural practices and reflects it on the silver screen. Nowadays , communicating in English is in vogue, more than as a medium of communication it is a style statement and matter of pride and because of this everyone wants to learn this language. English is a lingua franca and one must learn it to match with the pace of the world but not at the cost of ignoring one's native-tongue. The language of any region is not just a language but it is an inheritance of one's roots and unique identity. It must be preserved because it connects one with his culture. Culture is transmitted from generation to generation as tradition via one's native-tongue and at the same time, it is passed on as a legacy to the next generation. In the present research paper, the researchers have underscored the plight of the characters who feel second to other people of their own country because they can't speak English.

Rizwan Ahmad

Gender & History

Asha Sarangi

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

RELATED PAPERS

Ali R Fatihi

Language and the Making of Modern India

Pritipuspa Mishra

Marijana Janjić

Rashmi Sadana

Alkafil Choudhury , Juri Saikia

Critical Quarterly

Aamir R Mufti

Langlit:An International Peer Reviewed Open Access Journal

Dr. Abha Singh

Prof B Mallikarjun

DR. Nazia Hasan

Annie Montaut

JRSP-ELT (ISSN: 2456-8104)

JRSP-ELT - Journal for Research Scholars and Professionals of English Language Teaching

Mithilesh Kumar Jha

Anvita Abbi

Aneesh Aneesh

K. V. S. Prasad

English Studies in India

Dr. PARTHA S A R A T H I NANDI

Dr Kotthireddy Mallareddy Reddy

Susheel K Sharma

Indira Junghare

Angira Gavankar

languageinindia.com

B.A. Mahalakshmi Prasad

Rama Kant Agnihotri

RELATED TOPICS

•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

Hindi language text search: A literature review

• Annals of Library and Information Studies 64(1):37-43
• 64(1):37-43

• Dhirrendra Mahila PG College

• Banaras Hindu University

Discover the world's research

• 25+ million members
• 160+ million publication pages
• 2.3+ billion citations

• Arun Maurya

• Mohinder Singh

• INT J OPER PROD MAN

• D Tranfield
• Recruit researchers
• Join for free
• Login Email Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password? Keep me logged in Log in or Continue with Google Welcome back! Please log in. Email · Hint Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password? Keep me logged in Log in or Continue with Google No account? Sign up

This week: the arXiv Accessibility Forum

Help | Advanced Search

Computer Science > Computation and Language

Title: taxonomic survey of hindi language nlp systems.

Abstract: Natural Language processing (NLP) represents the task of automatic handling of natural human language by machines.There is large spectrum of possible applications of NLP which help in automating tasks like translating text from one language to other, retrieving and summarizing data from very huge repositories, spam email filtering, identifying fake news in digital media, find sentiment and feedback of people, find political opinions and views of people on various government policies, provide effective medical assistance based on past history records of patient etc. Hindi is the official language of India with nearly 691 million users in India and 366 million in rest of world. At present, a number of government and private sector projects and researchers in India and abroad, are working towards developing NLP applications and resources for Indian languages. This survey gives a report of the resources and applications available for Hindi language NLP.

Submission history

Access paper:.

• Other Formats

References & Citations

• Google Scholar
• Semantic Scholar

DBLP - CS Bibliography

Bibtex formatted citation.

Bibliographic and Citation Tools

Code, data and media associated with this article, recommenders and search tools.

• Institution

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .