--- license: mit task_categories: - text-classification language: - en tags: - sentiment-analysis - text-classification - multiclass-classification pretty_name: Sentiment Analysis Preprocessed Dataset including training and testing split size_categories: - 10K This dataset is designed for a Text Classification to be specific Multi Class Classification, inorder to train a model (Supervised Learning) for Sentiment Analysis.
Also to be able retrain the model on the given feedback over a wrong predicted sentiment this dataset will help to manage those things using **Other Features**.

**Features**
**text:** This feature variable has all sort of texts, sentences, tweets, etc.
**labels:** This target variable contains 3 types of numeric values as sentiments such as 0, 1 and 2. Where 0 means Negative, 1 means Neutral and 2 means Positive.

**Other Features**
**preds:**
**feedback:**
**retrain_labels:**
**retrained_preds:**