1. Predictive sentimental analysis of stock tweets
Authors : Rajesh Ahir, Mital Ahir
Pages : 71-77
DOI : http://dx.doi.org/10.21172/1.81.009
Keywords : Sentimental Analysis, Classi ers, Stock Tweets, Twitter, Text Mining Abstract :Now-a-days social networking sites are at the boom, so large amount of data is generated.Millions of people are sharing their views daily on micro blogging sites, since it containsshort and simple expressions. In this paper, we will discuss about a paradigm to extract thesentiment from a famous micro blogging service, Twitter, where users post their opinions foreverything. Firstly we will convert unformatted data into formatted data in preprocessinglevel. Secondly we will use a classi cation algorithm for classifying tweets as positive ornegative. Based on this approach the output will be in the form of graph representing theprediction of stock tweets.
Citing this Journal Article :Rajesh Ahir, Mital Ahir, "Predictive sentimental analysis of stock tweets", Volume 8 Issue 1 - January 2017, 71-77
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