Code for the CONLL-SIGMORPHON-2018 shared task

Natural Language Processing Machine learning with python and keras (text generator)

A keras implementation of Bidirectional-LSTM for Named Entity Recognition.

Abstractive text summarization models having encoder decoder architecture built using just LSTMs, Bidirectional LSTMs and Hybrid architecture and trained on TPU. Also pre-trained word embedding is used to speed up the process.

Applying NLP models to detect sarcasm for the Twitter datasets using Bidirectional LSTMs

515k Hotel reviews classifier with bidirectional lstm

A news article's title and description should be classified into the following groups in order to solve this classification problem: 1-World, 2-Sports, 3-Business and 4-Science/Tech .Here is a sequence of data. This is a sequential problem, thus we may use bidirectional LSTM for classification since we have access to the data.

This Repository Contains the code implementation for neural machine translation between Tanglish and English

predictive analysis for currency exchange rates, still under active development

Prediction of Star Rating based on Yelp Review DB

93.91% score on FNC Challenge.

Neural Network that writes new episodes of Twin Peaks. Using Bidirectional LSTM.

A repository for deep learning implementations using TensorFlow and Keras

Project on sentiment analysis

Implemented a Neural Network based on bi-directional LSTM for the sentence-level relation classification- Deep Neural Network Course Project

Here, I have developed POS-Tagging for Sanskrit Language. The dataset for the development of the model is pre-processed by me which was originally(raw-data) taken from JNU site.

Master Thesis Code

Subjectivity removal and Polarity classification of movie reviews employing a shallow model (Multinomial Naive Bayes) and a deep model (Bidirectional LSTM with self-attention)