Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings

TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision

In this paper, we propose a classifier for predicting topic-specific sentiments of English Twitter messages. Our method is based on a 2-layer CNN.With a distant supervised phase we leverage a large amount of weakly-label…

Efficient Twitter Sentiment Classification using Subjective Distant Supervision

As microblogging services like Twitter are becoming more and more influential in today's globalised world, its facets like sentiment analysis are being extensively studied. We are no longer constrained by our own opinion…

Evaluating Distant Supervision for Subjectivity and Sentiment Analysis on Arabic Twitter Feeds

Enhanced Twitter Sentiment Classification Using Contextual Information

The rise in popularity and ubiquity of Twitter has made sentiment analysis of tweets an important and well-covered area of research. However, the 140 character limit imposed on tweets makes it hard to use standard lingui…

An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training

As the number of social media users increases, they express their thoughts, needs, socialise and publish their opinions reviews. For good social media sentiment analysis, good quality resources are needed, and the lack o…