基于词汇的印地语情感分析的词义消歧

Q2 Social Sciences

Webology Pub Date : 2022-01-20 DOI:10.14704/web/v19i1/web19042

D. Kulkarni, Dr.S.F. Rodd

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引用次数: 0

摘要

在社交媒体、博客、在线论坛上，来自印地语用户的数据量正在急剧增加，因此，对印度语言的情感分析已成为一个主要的研究领域。基于词典的分析是一种可以用来分析情感的技术。在使用基于词典的情感分析时，歧义词可能是一个问题。本文提出了一种基于图的Lesk方法来处理词义消歧问题，并对词典方法进行了改进。实验结果表明，基于图的Lesk方法显著提高了基于词典的情感分析的性能。

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Word Sense Disambiguation for Lexicon-based Sentiment Analysis in Hindi

The amount of data from users in Hindi language is tremendously increasing on social media, blogs, online forums due to which Sentiment analysis of Indian languages has turned out to be a predominant research area. Lexicon based analysis is one of the techniques that can be used for analyzing sentiments. While using the lexicon-based sentiment analysis, ambiguous words could be an issue. This paper proposes a graph based Lesk approach to handle the word sense disambiguation issue and tries to enhance and improve the lexicon approach. Experiments performed to evaluate the performance of the proposed algorithm shows that the performance of lexicon-based sentiment analysis is increased significantly by using the graph based Lesk approach.

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来源期刊

Webology Social Sciences-Library and Information Sciences

自引率

0.00%

发文量

374

审稿时长

10 weeks

期刊介绍： Webology is an international peer-reviewed journal in English devoted to the field of the World Wide Web and serves as a forum for discussion and experimentation. It serves as a forum for new research in information dissemination and communication processes in general, and in the context of the World Wide Web in particular. Concerns include the production, gathering, recording, processing, storing, representing, sharing, transmitting, retrieving, distribution, and dissemination of information, as well as its social and cultural impacts. There is a strong emphasis on the Web and new information technologies. Special topic issues are also often seen.