2 publications

• Published Subscription 6 Feb 2019

  Emotion mining using Unsupervised Learning

  By Amjad Husain Bhat, Javed Parvez

  Abstract: Social networks are considered as the most abundant sources of affective information for Sentiment and Emotion Classification. Emotion Classification is the challenging task of classifying emotions into different types. Emotion is a mental state observed by behavioral or developmental changes. Emotions being universal, the automatic exploration of emotion is considered as the difficult task to be performed. A lot of the research is being conducted in the field of automatic …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 24–34 Read article →

• Published Subscription 7 Jun 2018

  Multi-Class Automatic Emotion Classifier

  By 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 →