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.

Most implemented papers

n-stage Latent Dirichlet Allocation: A Novel Approach for LDA

anil1055/n-stage_LDA 16 Oct 2021

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

Aaron-Paul/Bitcoin-Price-Twitter-Sentiment-Analysis 3 Mar 2023

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

ahmadmwali/semeval-afrisenti 26 Apr 2023

We present the findings of SemEval-2023 Task 12, a shared task on sentiment analysis for low-resource African languages using Twitter dataset.