3 publications
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Emotion Evaluation from Text: A SurveyBy Aabiroo Bader
Abstract: Information extraction is the process of retrieving structured information from unstructured or semi-structured text. It has a wide range of applications in domains such as biomedical literature mining, business intelligence, sentiment analysis, and emotion analysis. This survey describes recent works in the field of emotion detection for text data, being a part of the broader area of affective computing. It has been inspired by the well-known fact that, despite there …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 8–20 Read article →
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Data Stream MiningBy Aabiroo Bader
Abstract: A data stream can be considered as an ordered sequence of data items, where the elements of the series continuously arrive as time progresses. Data stream mining is the procedure of extracting knowledge structures from such continuous, rapid data records. Mining data streams nurtures new problems for the data mining community regarding how to mine continuous high-speed data items that you can only have one look at. Due to this …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article →
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Multi-Class Automatic Emotion ClassifierBy Aabiroo Bader, Amjad Husain Bhat
Abstract: Now a day’s various social networking sites has become a very popular communication tool among internet users across the world. People keep on updating their status, thoughts, opinions, suggestions etc. across the continent which often includes their emotions and sentiments. Therefore social networking sites are rich sources of data for opinion mining and sentiment analysis. In this paper, we are focusing on using Twitter, the most popular social networking platform, …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 15–25 Read article →