Analysis Of Tweets For Popularity Detection Of Television Media In Business Intelligence
Author(s): Dhananjay C. Dandapat, Narendra P. Chaudhary, Sachin C. Chavan, Vaibhav D. Ghare
Publication #: IJIRCT1201083
Date of Publication: 23.01.2016
Country: India
Pages: 405-407
Published In: Volume 1 Issue 4 January-2016
Abstract
In today’s world Social media plays a key role in recording our day to day life responses. Twitter- A social platform serves as a rich source of information for the responses of audiences to any Events broadcasted on television media. Here in this case we propose a system which analyzes particular TV show based on its available #hashtag, extract the tweets classify them as Positive or negative based on their nature, assign scores and display the graphical representation of these scores which serves as a data of greater importance for Business Intelligence. Here we study and implement concept of sentiment analysis to the proposed system, to classify extracted tweets as positive, negative and neutral
Keywords: Tweets, Business Intelligence, Extraction, Processing, Classification, Clustering, Positive count, Negative count, Graph, Sentimental analysis, social media
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