Twitter Sentiment Analysis

### Context

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 sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.

Formally, 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, your objective is to predict the labels on the test dataset.

### Content

Full tweet texts are provided with their labels for training data.
Mentioned users' username is replaced with @user.

### Acknowledgements

Dataset is provided by [Analytics Vidhya](http://https://datahack.analyticsvidhya.com/contest/practice-problem-twitter-sentiment-analysis/)

本任务旨在检测推特中的仇恨言论。为了简化问题，我们定义含有种族主义或性别歧视情感的推文为仇恨言论。因此，任务的目标是对推文进行分类，以区分含有种族主义或性别歧视情感的推文与其它推文。形式上，给定包含推文及其标签的训练样本，其中标签'1'表示推文为种族主义/性别歧视，标签'0'表示推文非种族主义/性别歧视，您的目标是预测测试数据集中的标签。完整推文文本及其标签提供于训练数据中。提及的用户名已替换为@user。本数据集由[Analytics Vidhya](http://https://datahack.analyticsvidhya.com/contest/practice-problem-twitter-sentiment-analysis/)提供。