This is the sentiment140 dataset. It contains 1,600,000 tweets extracted using the twitter api . The tweets have been annotated (0 = negative, 4 = positive) and ...

This is an entity-level sentiment analysis dataset of twitter. Given a message and an entity, the task is to judge the sentiment of the message about the entity ...

The dataset has three sentiments namely, negative(-1), neutral(0), and positive(+1). It contains two fields for the tweet and label.

Sentiment140 dataset with 1.6 million tweets · Dataset Notebooks.

Entity-level sentiment analysis on multi-lingual tweets.

The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist ...

Practice Problem by Analytics Vidya.

Twitter Sentiment Analysis Data File. Find two data sets below - One for training and one for evaluation. Train File. twitter_sentiments_data.csv ...

All the Tweets and Comments From twitter and Reddit are Cleaned using Pythons re and also NLP with a Sentimental Label to each ranging from -1 to 1.

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models.