hashing-vectorizer

💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

Various ways to convert word to vectors. Created Date: 16 Feb 2018

Sentiment Analysis - Airline Tweets using NLP preprocessing, ML algorithms - Logistic regression, XGboost & Naive bayes

I participated in kaggle sentimental analysis competion I designed model that was able to reach prediction of 62% I used two models: hashing based and tfidf based

Smart telegram bot using machine learning: using Hashing Vectorizer and Ridge Classifier. The bot is implemented for normal communication with the attached files intents and examples. If you want to find this bot yourself, then enter the telegram chatbot14721 in the search for messages.

Simple web app to classify texts using Flask and HTML. Training of model done on IMDB movie reviews dataset, utilising Hashing Vectorizer.

Sentiment analysis with spark