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

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…

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment analysis and related tasks, researchers have therefore used binarized emoticons and specific hashtags as forms of distant supe…

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…

From Stars to Insights: Exploration and Implementation of Unified Sentiment Analysis with Distant Supervision

Sentiment analysis is integral to understanding the voice of the customer and informing businesses' strategic decisions. Conventional sentiment analysis involves three separate tasks: aspect-category detection (ACD), asp…

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