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Data · dataset · 2023

Rawat - Sentiment Analysis of Tweets

Listed in Teesside University Research Data Repository

The extraction of data from the Twitter site was the initial step, without which no analysis is possible.

Description

Using the ‘Advanced Twitter search’ option, appropriate hashtags and dates were used to check if the Tweets from the desired dates are available. To scrape the Tweets and fetch the historical data, a Twitter framework was created in ‘Octoparse’ software.

The final output of tweets was downloaded in Excel format. Nearly 234 tweets were obtained using the hashtags ‘#BipinRawat’ ‘#Karma’ ‘#IAFChoppercrash’ and ‘#IndianAirForce.’ Tweets in regional language; news and tweets of different contexts but similar hashtags; updates from online news channels; and retweets, or replies were filtered. To annotate the reviews manually the guidelines were framed following the design proposed by Mohammad (2016) in their manual, ‘A Practical Guide to Sentiment Annotation: Challenges and Solutions’.

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The questionnaire was also prepared based on the same.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/zp77hffzxg.19 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title