Automatically identifying a software product's quality attributes through sentiment analysis of tweets

@article{Dehkharghani2013AutomaticallyIA,
  title={Automatically identifying a software product's quality attributes through sentiment analysis of tweets},
  author={Rahim Dehkharghani and Cemal Yilmaz},
  journal={2013 1st International Workshop on Natural Language Analysis in Software Engineering (NaturaLiSE)},
  year={2013},
  pages={25-30}
}
Software quality attributes can be identified based on software features such as security, reliability and user-friendliness. This process can be done either manually or automatically. Sentiment analysis refers to the sentiment extraction task from resources such as natural language texts. We study the application of sentiment analysis on extracting the quality attributes of a software product based on the opinions of end-users that have been stated in microblogs such as Twitter. Our findings… CONTINUE READING

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