Code for the CONLL-SIGMORPHON-2018 shared task
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Updated
Oct 15, 2019 - Python
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.
Applying NLP models to detect sarcasm for the Twitter datasets using Bidirectional LSTMs
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.
predictive analysis for currency exchange rates, still under active development
A simple many-to-one string generating Bidirectional LSTM using pytorch
This repository aims is dedicated to exploring NLP problems using deep learning
AmazonReviewNLP is a deep learning project that utilizes LSTMs for sentiment analysis on Amazon customer reviews.
I crafted a robust sentiment analysis model featuring Bidirectional LSTM layers and embeddings. Leveraging a Sequential model structure and fine-tuning with 'sparse_categorical_crossentropy' loss and 'adam' optimizer, the implementation excels in capturing contextual nuances for precise emotion classification in natural language data.
Bidirectional RNNs are used to analyze the sentiment (positive, negative, neutral) of movie reviews. .
A deep learning-based sequence model used to predict forthcoming words in a sentence.
93.91% score on FNC Challenge.
Neural Network that writes new episodes of Twin Peaks. Using Bidirectional LSTM.
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
Sentiment classification of IMDB movie reviews using Natural Language Processing models
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