Twitter Hate Speech Sentiment Analysis

Data Description:

• A sentiment analysis job about the hate speech.
• Twitter data is anonymized by replacing Mentioned users' username with with @user.
• For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it.

Dataset:

• The project is from a dataset from Kaggle.
• Link to the Kaggle project site:https://www.kaggle.com/datasets/arkhoshghalb/twitter-sentiment-analysis-hatred-speech?resource=download
• The dataset has to be downloaded from the above Kaggle website
• Full tweet texts are provided with their labels for training data.

Objective:

• We are given a training sample of tweets and labels, where label '1' denotes the tweet is racist/sexist and label '0' denotes the tweet is not racist/sexist, our objective is to predict the labels on the test dataset (racist/sexist or non racist/sexist.)

Skills:

• Exploratory Data Analysis
• Preprocessing and cleaning
• Bag-of-Words and TF-IDF
• Model development and evaluation

Environment:

• Jupyter Notebook