Classroom teaching becomes viable and efficient based on increase in participation of the
student. This can be made possible by taking needed measure by finding the emotions of …

We propose a sentiment classification method for large scale microblog text based on the
attention mechanism and the bidirectional long short-term memory network (SC-ABiLSTM) …

Microblogs data is the microlength user-generated data that is posted on the web, eg,
tweets, online reviews, comments on news and social media. It has gained considerable …

Sentiment analysis is a task of predicting sentiments from the opinionated data and
classifies them as positive, negative, ratings (stars or numerical), thumbs up-thumbs down …

Emotion Cause Extraction (ECE) aims to identify emotion causes from a document after
annotating the emotion keywords. Some baselines have been proposed to address this …

Day by day, the number of blog users and microblog users is increasing worldwide. It is easy
to say that blogs have captured a significant portion of other web services. In the past few …

Bullet screen can express the feeling of the audience when watching video. If emotional
analysis and research are carried out on it, it is helpful to improve the accuracy of user …

Sentiments Analysis in which a text document is assigned into some category like positive,
negative, and neutral on the basis of some subjective information contained in documents …

Sentiment Analysis has gained a lot of popularity in the last few years. It is the processes of
identifying the underlying sentiment in a comment, review or in a document. Sentiment of a …

In various enterprises, the security data are manually entered by multiple security workers at
different times, which can lead to disordered data in the system, and also, analysis decision …