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
Most implemented papers
n-stage Latent Dirichlet Allocation: A Novel Approach for LDA
In this article, the proposed n-stage LDA method, which can enable the LDA method to be used more effectively, is explained in detail.
Cryptocurrency Price Prediction using Twitter Sentiment Analysis
In this study, we develop an end-to-end model that can forecast the sentiment of a set of tweets (using a Bidirectional Encoder Representations from Transformers - based Neural Network Model) and forecast the price of Bitcoin (using Gated Recurrent Unit) using the predicted sentiment and other metrics like historical cryptocurrency price data, tweet volume, a user's following, and whether or not a user is verified.
HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis
We present the findings of SemEval-2023 Task 12, a shared task on sentiment analysis for low-resource African languages using Twitter dataset.