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Sentiment Analysis has been a keen research area for past few years. Though much of the exploration that has been done supports English language only. This paper proposes a method using which one can analyze different languages to find sentiments in them and perform sentiment analysis. The method leverages different techniques of machine learning to analyze the text. Machine translation is used in...
India is a multi-lingual and multi-script country. Developing natural language processing techniques for Indic languages is an active area of research. With the advent of social media, there has been an increasing trend of mixing different languages to convey thoughts in social media text. Users are more comfortable in their regionalistic language and tend to express their thoughts by mixing words...
Text Summarization is condensing of text such that, redundant data are removed and important information is extracted and represented in the shortest way possible. With the explosion of the abundant data present on social media, it has become important to analyze this text for seeking information and use it for the advantage of various applications and people. From past few years, this task of automatic...
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