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VOL. 10, ISSUE 2 (2024)
Understanding public perception of products on twitter using sentiment analysis
Authors
Barka Tatama Fori, Maikori Jenom, Lawal Ibrahim, Ipole Nancy, Onu Egena
Abstract
In the world of business, it’s a known that facts are important, but opinion
plays a crucial role. Opinions are more available now in the era of social
media such as FaceBook and Twitter, where as part of people's daily life people
share their views and opinion about matters of concern to them like companies,
products etc. These opinions if collected in large quantities can be used by
organizations and businesses to make informed and proactive decisions. From
opinions which is usually text, sentiments can be collected, sentiments are
either emotions, judgements or ideas describing how a person feels about a
particular thing or subject. Sentiment analysis plays a huge role in enabling
businesses to work actively on improving their business strategy and gain an
in-depth insight to how their customers feel. In this paper, real time twitter
data is mined on the fly of user reactions to the newly announced Samsung
flagship devices and using pythons Natural Language Toolkit (NLTK) to analyze
the sentiments of the tweets being streamed for twitter. The results can be
used to tell companies if they should mass produce products or reduce
production to match whatever result they get from analyzing the sentiments of
their data.
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Pages:5-9
How to cite this article:
Barka Tatama Fori, Maikori Jenom, Lawal Ibrahim, Ipole Nancy, Onu Egena "Understanding public perception of products on twitter using sentiment analysis". National Journal of Advanced Research, Vol 10, Issue 2, 2024, Pages 5-9
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