Developing a Sentiment Analysing and Tagging System


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 8, pp. 377-384, Aug. 2016
10.3745/KTSDE.2016.5.8.377,   PDF Download:
Keywords: sentiment analysis, Twitter, Sentiment Tagged Corpus
Abstract

Our goal is to build the system which collects tweets from Twitter, analyzes the sentiment of each tweet, and helps users build a sentiment tagged corpus semi-automatically. After collecting tweets with the Twitter API, we analyzes the sentiments of them with a sentiment dictionary. With the proposed system, users can verify the results of the system and can insert new sentimental words or dependency relations where sentiment information exist. Sentiment information is tagged with the JSON structure which is useful for building or accessing the corpus. With a test set, the system shows about 76% on the accuracy in analysing the sentiments of sentences as positive, neutral, or negative.


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Cite this article
[IEEE Style]
L. H. Gyu and L. Songwook, "Developing a Sentiment Analysing and Tagging System," KIPS Transactions on Software and Data Engineering, vol. 5, no. 8, pp. 377-384, 2016. DOI: 10.3745/KTSDE.2016.5.8.377.

[ACM Style]
Lee Hyun Gyu and Lee Songwook. 2016. Developing a Sentiment Analysing and Tagging System. KIPS Transactions on Software and Data Engineering, 5, 8, (2016), 377-384. DOI: 10.3745/KTSDE.2016.5.8.377.