Political tweets Sentiment anayslis for Pro, neutral and anti-govt activities

Citation Author(s):
Ihsan
Ullah Khan
Submitted by:
Ihsan Ullah Khan
Last updated:
Sat, 04/15/2023 - 19:56
DOI:
10.21227/rf7t-6g73
Data Format:
*.csv
License:
Creative Commons Attribution
305 Views
Categories:
Artificial Intelligence
Education and Learning Technologies
Machine Learning
Keywords:
political affiliation tweets polarity sentiment analysis
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Abstract 

To identify the polarity (support/opposition/neutral) of the tweets against the current government. For this purpose, a BERT based model is proposed to identify the polarity. We conducted our experiments on 13,000 tweets collected from 80 different political users accounts.

Instructions: 

To identify the polarity (support/opposition/neutral) of the tweets against the current government. For this purpose, a BERT based model is proposed to identify the polarity. We conducted our experiments on 13,000 tweets collected from 80 different political users accounts.

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Submitted by rajan deo on Wed, 02/08/2023 - 07:21

no

Submitted by rajan deo on Wed, 02/08/2023 - 07:24

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