Twitter Sentiment Analysis
13 papers with code • 0 benchmarks • 5 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
Latest papers with no code
Twitter Sentiment Analysis of Covid Vacciness
In this paper, we look at a database of tweets sorted by various keywords that could indicate the users sentiment towards covid vaccines.
Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis
The rise of ChatGPT has brought a notable shift to the AI sector, with its exceptional conversational skills and deep grasp of language.
An LSTM model for Twitter Sentiment Analysis
Sentiment analysis on social media such as Twitter provides organizations and individuals an effective way to monitor public emotions towards them and their competitors.
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets
Among the Weka results, the most successful method was n-stage LDA, and the most successful algorithm was Random Forest.
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis
Sentiment analysis is a text mining task that determines the polarity of a given text, i. e., its positiveness or negativeness.
A `Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source
We widely use emojis in social networking to heighten, mitigate or negate the sentiment of the text.
From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data
In this paper, we propose to mine Twitter messages as a probing method to understand the impacts of people's work and rest patterns in the evening/midnight of the previous day to the next-day morning traffic.
Public discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19.
A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency
A novel social networks sentiment analysis model is proposed based on Twitter sentiment score (TSS) for real-time prediction of the future stock market price FTSE 100, as compared with conventional econometric models of investor sentiment based on closed-end fund discount (CEFD).
Mazajak: An Online Arabic Sentiment Analyser
Sentiment analysis (SA) is one of the most useful natural language processing applications.