Sentibase: Sentiment Analysis in Twitter on a Budget

Guha, Satarupa; Joshi, Aditya; Varma, Vasudeva

doi:10.18653/v1/s15-2098

Cited by 5 publications

(1 citation statement)

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“…The primary outcomes offered were that whether a movie would be efficacious at the box office. Guha, Joshi, and Varma's (2015) paper specifics the portrayal of the system submitted by team Sentibase for SemEval 2015. The purpose of this work was to put together a complete sentiment analysis for Twitter in a day that achieves enviable performance without going through multiple modelling procedures, as the paper's title suggests.…”

Section: Related Workmentioning

confidence: 99%

Communicating Five-Year Budgets for the Indian Economy: Comparative Text and Sentiment Analysis

Kaushal¹,

Ghalawat²,

Saroha³

2021

JCCC

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The content on social media is full of useful information that helps in communicating people’s preferences and opinions. The various examples in this context are that people frequently express their opinions about films and other social issues using Twitter, Facebook, etc. In this work, Sentiment Analysis of the Annual Budget for five financial years, namely, 2017–2018, 2018–2019, 2019–2020, 2020–2021, and 2021–2022 was initiated with the help of Twitter. Firstly, the researcher applied Text Mining to extract the budget's text data documents and computed correlation to know the association of influential words. Then, in analysis section plotted the occurrence of the words and the accompanying word cloud. The analysis was performed employing R software. Finally, the sentiment score for each item was calculated and assessed. This research is crucial because conducting a comparative text and Sentiment Analysis of five-year budgets for the Indian economy would communicate the previously prevailing positive and negative forecasts and thinking, which will aid future policymakers in planning future budgets.

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Section: Related Workmentioning

confidence: 99%