munirulhassan Goto Github PK

arxiv-twitter

Bot for posting arXiv.org updates to twitter

attention-sentiment

My bachelor's degree thesis (with code and experiments) on sentiment classification of Russian texts using Bi-RNN with attention mechanism.

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

ccs_workshop

Citation Sentiment Analysis examples and discussion

citationsentimentanalysis

Sentiment analysis of scientific citation

clinical-citation-sentiment

cnn-bilstm-glove-sentiment-emotion-classification

Master project

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn_sentence

CNNs for sentence classification

comparison-of-hybrid-neural-network-methodologies-for-sentiment-emotion-analysis

Twitter tweets play an important role in every organisation. This project is based on analysing the English tweets and categorizing the tweets based on the sentiment and emotions of the user. The literature survey conducted showed promising results of using hybrid methodologies for sentiment and emotion analysis. Four different hybrid methodologies have been used for analysing the tweets belonging to various categories. A combination of classification and regression approaches using different deep learning models such as Bidirectional LSTM, LSTM and Convolutional neural network (CNN) are implemented to perform sentiment and behaviour analysis of the tweets. A novel approach of combining Vader and NRC lexicon is used to generate the sentiment and emotion polarity and categories. The evaluation metrics such as accuracy, mean absolute error and mean square error are used to test the performance of the model. The business use cases for the models applied here can be to understand the opinion of customers towards their business to improve their service. Contradictory to the suggestions of Google’s S/W ratio method, LSTM models performed better than using CNN models for categorical as well as regression problems.

ddch2

Datadays 2019 Challenge 2 - Deep Learning Based Persian NLP

deep-learning-nlp

:satellite: Organized Resources for Deep Learning in Natural Language Processing

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

feedly

Sentiment analysis of Reuter news articles..

glove

GloVe model for distributed word representation

hdltex

HDLTex: Hierarchical Deep Learning for Text Classification

hub

A library for transfer learning by reusing parts of TensorFlow models.

imdb_sentiment_classification_pure_tensorflow

Sentiment Classification using LSTM and BiLSTMs in Tensorflow

indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

indrnn_theano_lasagne

This code is to implement the IndRNN.

keras-bert-ner

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF/single-CRF model with BERTs (Google's Pretrained Language Model: supporting BERT/RoBERTa/ALBERT).

keras-indrnn

Implementation of IndRNN in Keras

lexvec

This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

nlp-papers-with-arxiv

Statistics and accepted paper list of NLP conferences with arXiv link

nlp_from_dsy

使用Bert+CRF、Bert+BiLSTM+CRF、Bert+BiGRU+CRF、Bert+BiGRU+self-atttention+CRF、AlBert+CRF、AlBert+BiLSTM+CRF、AlBert+BiGRU+CRF、AlBert+BiGRU+self-atttention+CRF进行命名实体等等

nlp_project

RMDL and RobertaBERT

nlpaug

Data augmentation for NLP

optimizers-role-in-rnn

Comparing all the gradient Descent Optimizer on RNN deep learning model.