Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Lstm Sentiment Analysis | 844 | 4 years ago | 20 | mit | Jupyter Notebook | |||||
Sentiment Analysis with LSTMs in Tensorflow | ||||||||||
Aspect Based Sentiment Analysis | 413 | 9 months ago | 8 | August 01, 2021 | 33 | apache-2.0 | Python | |||
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow) | ||||||||||
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis | 364 | 5 months ago | 19 | Python | ||||||
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall | ||||||||||
Cs291k | 272 | 6 years ago | Python | |||||||
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models | ||||||||||
Td Lstm | 252 | 6 years ago | Python | |||||||
Attention-based Aspect-term Sentiment Analysis implemented by tensorflow. | ||||||||||
Doc Han Att | 193 | 6 years ago | 5 | Jupyter Notebook | ||||||
Hierarchical Attention Networks for Chinese Sentiment Classification | ||||||||||
Watch Me Build A Finance Startup | 156 | 4 years ago | mit | Java | ||||||
This is the code for "Watch Me Build a Finance Startup" by Siraj Raval on Youtube | ||||||||||
Twitter Sentiment Cnn | 133 | 6 years ago | 5 | Python | ||||||
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets. | ||||||||||
Real Time Stock Market Prediction Using Ensemble Dl And Rainbow Dqn | 125 | a month ago | 39 | mit | Python | |||||
French Sentiment Analysis With Bert | 124 | 7 months ago | 14 | mit | Jupyter Notebook | |||||
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset |
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis, published at NAACL 2018
Python-2.7.12
TensorFlow-1.4.1
Numpy-1.14.2
$ python main.py --embedding_file PATH/TO/GLOVE_EMBEDDING_FILE
Note that the code assumes that the first line in the embedding file specifies the vocabulary size and dimension size:
sed -i '1i VOCAB_SIZE DIM_SIZE' PATH/TO/GLOVE_EMBEDDING_FILE
@InProceedings{Liu+:2018,
author = {Liu, Fei and Cohn, Trevor and Baldwin, Timothy},
title = {Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis},
booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
year = {2018},
address = {New Orleans, USA},
pages = {278--283}
}