This project is to compare the F1 scores on performing sentiment analysis on reviews using various methods. We test the efficeintcy of TfidfVectorizer and CountVectrorizers when used with Multinomial Naive Bayes and SVC respectively.

Classification of emails received on a mass distribution group

Spam Detection – Cluster SMS messages to “Spam” and “Ham” (Kaggle Challenge)

This competition is hosted by Kaggle https://www.kaggle.com/c/nlp-getting-started/overview. I participated in the competition in order to try my hands on the field of Artificial Intelligence known as Natural Language Processing.

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Predicting Tags for Stack Overflow

Can we learn about the Resist Movement by analyzing #resist tweets?

Captionate - Image Captioning Toolkit

Practice Rust by making Vectorizer

Silicon Valley (TV Show on HBO) language analysis

SMS SPAM FILTERING

This project suggests you the list of movies based on the movie title that you have entered. It uses Count Vectorizer (Text-Feature Extraction tool) to find the relation between similar movies.

Classification model with NLP to learn which subreddit a given post came from.

A model designed to calculate the score of an individual reddit post based on the natural language processing of the subreddit. Utilizing Count Vectorizer predict score of reddit based on words used.

ML project to differentiate between spam email and ham (not spam) email.

We do a text analysis using NLP to classify whether a text SMS is spam or ham

It contains application of naive bayes model on a big textual data set. The problems is an example of NLP based solution on 2 different kind of vetorization.

Labeling articles by PYTHON

Topic extraction from tweets with Latent Dirichlet Allocation (LDA).

Web-app that uses Machine Learning to Predict if SMS message is ether Span or Not Span

< IMDB 영화 리뷰 Binary Classification >

Spam classifier using NLP

This repository contains the code that I used to do spam detection

Data Pipeline and modeling in Python for help classify disaster response messages

Basic usage of NLTK. Implementation of concepts like Stemmer, TfIdf, and text.CountVectors