Journal ArticleDOI
Grammar rule-based sentiment categorisation model for classification of Tamil tweets
Nadana Ravishankar,R. Shriram +1 more
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TLDR
A rule-based sentiment categorising tool for Tamil tweets is developed and it is found that the tool classifies the genre of a particular movie provided by user tweets and validated the approach with domain experts and baseline models.Abstract:
The advent of social media has enabled people to easily and publicly express their ideas on a movie/product in such a way that it reaches millions of people within no time. This research aims to implement a tool that would be helpful in predicting the genre of the movies as perceived by the audience through linguistic rules and natural language processing (NLP) tool kit. This paper focuses on development of rule-based sentiment categorising tool for Tamil tweets and a tool has been developed using Python and NLP tool kit. Furthermore, a model is designed to determine the opinion along with genre classification of Tamil movies. For this work, a set of genres are selected from Tamil movies with public tweets based on sentiment analysis. We find that the tool classifies the genre of a particular movie provided by user tweets and validated our approach with domain experts and baseline models.read more
Citations
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Proceedings ArticleDOI
Sentiment Analysis in Tamil Texts: A Study on Machine Learning Techniques and Feature Representation
TL;DR: Basic features such as word count and punctuation count are used in addition to traditional features including Bag of Words and Term Frequency-Inverse Document Frequency included to check their influence in the prediction.
Journal ArticleDOI
Review on sentiment analysis in tamil texts
TL;DR: It is concluded from the review that SVM and RNN classifiers taking TF-IDF and Word2vec features of Tamil text give better performance than grammar rules based classifications and other classifiers with presence of words, TF and BoW as features.
Journal ArticleDOI
Rules for Orthographic Word Parsing of the Philippines’ Cebuano-Visayan Language Using Context-Free Grammars
TL;DR: G grammar rules for hyphenated words are created which include sequences of a hyphen between vowel-consonant, consonant-cons onant, vowel-vowel, and consonants to enhance the understanding and comprehension of the Cebuano-Visayan discourse.
Journal ArticleDOI
Mother Tongue Interference in English Writing among Tamil School Students
TL;DR: In this paper, the authors examined how the Tamil language in particular influences young native speakers' writing of English essays and found that the main issues in the students' writings are related to grammar, direct translation of the Tamil languages, vocabulary and spelling.
Journal Article
Enhancement Schism Opinions in Twitter With Social Media Analysis (ESOTA)
TL;DR: Twitter knowledge of collecting more tweets, affecting sentiment analysis to evaluate positive, neutral or negative sentiments, and preliminarily plotting the collision on propagation are outlined.
References
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