Kaggle Competition - Natural Language Processing with Disaster Tweets
-
Updated
Jan 28, 2021 - HTML
Kaggle Competition - Natural Language Processing with Disaster Tweets
We aim to predict whether a given review is positive or negative, through sentiment analysis
Intent classification is the automatic categorization of text data based on customer goals. It is known to be a complex problem in NLP. Sequence Labelling aims to classify each token (word) in a class space C. This project addresses these two problem statements by covering the basic concepts of NLP to advanced ones. For instance, linguistics ana…
A modern, responsive web application that delivers personalized content recommendations based on user preferences and behavior. This interactive recommendation system allows users to discover content tailored to their interests through category selection, tag filtering, and customizable content parameters.
Add a description, image, and links to the count-vectorizer topic page so that developers can more easily learn about it.
To associate your repository with the count-vectorizer topic, visit your repo's landing page and select "manage topics."