Sentiment Analysis of Twitter User Data on Punjab Legislative Assembly Election, 2017

  • Kumar Singh A
  • Kumar Gupta D
  • et al.
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Abstract

Sentiment Analysis is the way of gathering and inspecting data based on the personal emotions, reviews, and contemplations. The sentimental analysis is also recognized as opinion mining since it mines the major feature from people opinions. There are various social networking platforms, out of which Twitter is praised by lawmakers, academicians, and journalists for its potential political values. In literature, numerous studies have been performed on the data ecstatic to elections on Twitter. The greater part of them has been on the U.S Presidential Elections where there are two main applicants who fight it out. Since individuals discuss so many political parties and candidates and their prospects too in rendered messages, the issues of distinguishing their political feeling become extensive and fascinating. Consideration of all these aspects along with a sheer volume of data propelled us to look into the data and find interesting inferences in it

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Kumar Singh, A., Kumar Gupta, D., & Mohan Singh, R. (2017). Sentiment Analysis of Twitter User Data on Punjab Legislative Assembly Election, 2017. International Journal of Modern Education and Computer Science, 9(9), 60–68. https://doi.org/10.5815/ijmecs.2017.09.07

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