Kennedy, Rachel (2014) Studying the Studies: An analysis of Twitter to investigate the volume, topics, sentiment and contradictions of the latest “New Study”. Diploma thesis, Dublin, National College of Ireland.
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This project is based on data pertaining to new studies collected from Twitter. The textual data was gathered using code developed in Java, and was cleaned and parsed into a format where further analysis could take place.
The analysis involved topic analysis, sentiment analysis, identification of contradictions, identification of factors that increase tweet longevity and a brief look at the use of language.
Topic analysis found that health is the most common subject discussed in the tweets (40.21%), followed by conversational and humorous tweets (34.45%) and followed by technology at 3.75%.
Sentiment analysis was carried out using the AlchemyAPI tool and showed a negative sentiment overall, with only three topics (marketing, entertainment and business) having a positive sentiment score.
|Item Type:||Thesis (Diploma)|
|Subjects:||Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
|Divisions:||School of Computing > Higher Diploma in Science in Data Analytics|
|Depositing User:||CAOIMHE NI MHAICIN|
|Date Deposited:||16 Dec 2014 14:37|
|Last Modified:||16 Dec 2014 14:37|
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