This repository explains how to create text classification models with spaCy3.0
This repository explains how to create text classification models with spaCy
The dataset is from the Tweet Sentiment Extraction challege from Kaggle(https://www.kaggle.com/c/tweet-sentiment-extraction/overview)
We would perfom text classification using spaCy on tweet data to classify tweets as "positive","negative" or "neutral"
Download the data and rename the data directories in code for loading both train and test data
Pre-requisites:
spaCy (https://spacy.io/)
Python 3.6 or above
Jupyter
Pandas (https://pandas.pydata.org/)