MunirUlHassan

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.

CitationSentimentAnalysis

Sentiment analysis of scientific citation

RMDL

RMDL: Random Multimodel Deep Learning for Classification

MunirUlHassan/CitationSentimentAnalysis

Sentiment analysis of scientific citation

MunirUlHassan/RMDL

RMDL: Random Multimodel Deep Learning for Classification

MunirUlHassan/arxiv-twitter

Bot for posting arXiv.org updates to twitter

MunirUlHassan/CCS_workshop

Citation Sentiment Analysis examples and discussion

MunirUlHassan/clinical-citation-sentiment

MunirUlHassan/CNN-BiLSTM-GloVe-Sentiment-Emotion-Classification

Master project

MunirUlHassan/cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

MunirUlHassan/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.

MunirUlHassan/Deep-Learning-with-Keras

Code repository for Deep Learning with Keras published by Packt

MunirUlHassan/deep-learning-with-python-notebooks

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

MunirUlHassan/Feedly

Sentiment analysis of Reuter news articles..

MunirUlHassan/GloVe

GloVe model for distributed word representation

MunirUlHassan/HDLTex

HDLTex: Hierarchical Deep Learning for Text Classification

MunirUlHassan/hub

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

MunirUlHassan/IMDB_Sentiment_Classification_Pure_Tensorflow

Sentiment Classification using LSTM and BiLSTMs in Tensorflow

MunirUlHassan/indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

MunirUlHassan/Keras-IndRNN

Implementation of IndRNN in Keras

MunirUlHassan/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

MunirUlHassan/Machine-Learning-Collection

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

MunirUlHassan/nlp-papers-with-arxiv

Statistics and accepted paper list of NLP conferences with arXiv link

MunirUlHassan/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

MunirUlHassan/NLP_Project

RMDL and RobertaBERT

MunirUlHassan/nlpaug

Data augmentation for NLP

MunirUlHassan/phoneinfoga

Information gathering & OSINT framework for phone numbers

MunirUlHassan/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

MunirUlHassan/pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

MunirUlHassan/SemEval-2021-Task-11

This repo has system code for SemEval 2021 Task 11.

MunirUlHassan/Text_Classification

Text Classification Algorithms: A Survey

MunirUlHassan/Text_Classification_Capstone

Evaluate the performance of several state-of-the-art deep learning techniques on various text classification datasets. This project is part of Master's Thesis in Computer Control and Automation, NTU.

MunirUlHassan/Twitter-Sentiment-Analysis

BiLSTM with Multi-Headed Self Attention for sentiment classification of Twitter data, implemented in Keras and PyTorch.