Browsing by Author "Pallavi, S"

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    Sentiment Analysis of Top Colleges in India Using Twitter Data
    (2017-08-18T09:50:01Z) Pallavi, S; Rachana, C; Ramya, K V
    In today’s world, opinions and reviews accessible to us are one of the most critical factors in formulating our views and influencing the success of a brand, product or service. With the advent and growth of social media in the world, stakeholders often take to expressing their opinions on popular social media, namely twitter. While Twitter data is extremely informative, it presents a challenge for analysis because of its humongous and disorganized nature. This paper is a thorough effort to dive into the novel domain of performing sentiment analysis of people’s opinions regarding top colleges in India. Sentiment analysis deals with identifying and classifying opinions or sentiments expressed in source text. Social media is generating a vast amount of sentiment rich data in the form of tweets, status updates, blog posts etc. Sentiment analysis of this user generated data is very useful in knowing the opinion of the crowd. Twitter sentiment analysis is difficult compared to general sentiment analysis due to the presence of slang words and misspellings. Besides taking additional pre-processing measures like the expansion of net lingo and removal of duplicate tweets. Keyword: Sentiment analysis, machine learning, neural network, opinion mining, natural language processing, twitter.