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IRJET - Analysis on Code-Mixed Data for Movie Reviews

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IRJET Journal

This document presents a proposed approach for analyzing and classifying sentiments in code-mixed data, which is text containing a combination of languages like Hindi and English. The approach uses wordnet techniques to first separate words in each sentence into English and non-English words. It then processes the English and non-English words separately to calculate polarity scores, which indicate whether the sentiment is positive or negative. These polarity scores are combined to determine the overall sentiment of the sentence. The proposed system is aimed at improving over dictionary-based approaches by leveraging wordnet resources like WordNet and Hindi SentiWordNet to analyze code-mixed movie review data and classify the overall polarity.

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IRJET - Analysis on Code-Mixed Data for Movie Reviews
IRJET - Analysis on Code-Mixed Data for Movie Reviews
IRJET - Analysis on Code-Mixed Data for Movie Reviews
IRJET - Analysis on Code-Mixed Data for Movie Reviews

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