Given a blog (short length text), we need to analyze the text differentiating whether it is written by a male or a female by using machine learning techniques.
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Sep 21, 2015 - Python
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Given a blog (short length text), we need to analyze the text differentiating whether it is written by a male or a female by using machine learning techniques.
Simple multi-language Python and NLTK-based implementation of text summarization
Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)
Repository for Machine Learning Course's term project at IIT Kharagpur. Converting sign gestures data to text.
In this, I have created, trained and evaluated a WSD system using the SENSEVAL corpus based on the vector space model (VSM).
Spam/Ham classification, CRF classifier
Implementation of a really simple article summarizer using the Natural Language Toolkit library that reduces the article into the most essenstial lines (Washington Post Articles).
Sentiment Analysis of Reviews of Hotels in Pittsburgh
Text Categorization using Label Propagation
NLP Project to analyze hotel reviews using Naive Bayes model
Text Classification by Naive Bayes
Implemented a word sense disambiguation module
Work on Question Classification
Chinese sentiment analysis for NLP programming work
The experiment with applying NLP to correction of definite/indefinite articles in English text corpus
Latent Semantic Analysis with scikit-learn
Created by Alan Turing