Twitter Sentiment Analysis
13 papers with code • 0 benchmarks • 6 datasets
Twitter sentiment analysis is the task of performing sentiment analysis on tweets from Twitter.
Benchmarks
These leaderboards are used to track progress in Twitter Sentiment Analysis
Datasets
Twitter Sentiment Analysis
RETWEET
SentimentArcs: Sentiment Reference Corpus for Novels
Latest papers with no code
Twitter Sentiment Analysis using Distributed Word and Sentence Representation
The posts or tweets from this data can be used for mining people's opinions.
Twitter Sentiment Analysis System
Social media is increasingly used by humans to express their feelings and opinions in the form of short text messages.
Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM
Sentiment analysis on large-scale social media data is important to bridge the gaps between social media contents and real world activities including political election prediction, individual and public emotional status monitoring and analysis, and so on.
Causality Analysis of Twitter Sentiments and Stock Market Returns
Sentiment analysis is the process of identifying the opinion expressed in text.
Sentiment Analysis: It's Complicated!
In datasets constructed for the purpose of Twitter sentiment analysis (TSA), these controversial examples can compose over 30{\%} of the originally annotated data.
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification
A multilabel classification system Tw-StAR was developed to recognize the emotions embedded in Arabic, English and Spanish tweets.
THU\_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM
In order to address this task, we propose a system based on an attention CNN-LSTM model.
EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption
This paper describes our approach, called EPUTION, for the open trial of the SemEval- 2018 Task 2, Multilingual Emoji Prediction.
