abhijeet3922 / Mail-Spam-Filtering
It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.
☆87Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Mail-Spam-Filtering
- Collection of functions and scripts for text retrieval in Python: Document collection preprocessing, Feature Selection, Indexing, Query p…☆41Updated 11 years ago
- IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 re…☆109Updated 4 years ago
- An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…☆23Updated 7 years ago
- Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations☆36Updated 5 years ago
- Used two different methods to predict the sentiment (positive or negative) of movie reviews.☆56Updated 6 years ago
- Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM☆43Updated 7 years ago
- Code for TF tutorials (CS20SI and CS224N)☆47Updated 7 years ago
- Sentiment Analysis on Twitter☆132Updated 8 years ago
- This is our team's solution report, which achieves top 10% (305/3307) in this competition.☆62Updated 7 years ago
- An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition☆181Updated 6 years ago
- ☆33Updated 5 years ago
- Kaggle Twitter Sentiment Analysis Competition☆18Updated 6 years ago
- Classifying text with bag-of-words☆114Updated 9 years ago
- tutorial for sentiment analysis on Twitter data using Python☆131Updated 7 years ago
- 一些常用的机器学习算法实现☆92Updated 6 years ago
- Solution to Kaggle's Quora Duplicate Question Detection Competition☆137Updated 5 years ago
- Coursera Natural Language Processing by Michael Collins Columbia University☆31Updated 4 years ago
- TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition☆13Updated 6 years ago
- ☆67Updated 5 years ago
- Sentiment Analysis of IMDB Movie Reviews using word2vec and scikit-learn☆73Updated 9 years ago
- A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.☆63Updated 6 years ago
- My solution rank 5th/1212 in Facebook check ins prediction competition at Kaggle☆44Updated 8 years ago
- Kaggle Quora Questions Pairs Competition☆87Updated 6 years ago
- Final project for Udacity's ud741 — Unsupervised Learning☆52Updated 9 years ago
- Recommendation engine based on contextual word embeddings☆137Updated 8 years ago
- Uses a Convolutional Neural Network to detect duplicate questions in the public Quora dataset.☆34Updated 7 years ago
- Doc2Vec algorithm for solving moview review sentiment analysis☆25Updated 8 years ago
- Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'☆41Updated last year
- Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.☆161Updated 7 years ago