Absa_keras Alternatives

Keras Implementation of Aspect based Sentiment Analysis
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abdulfatir/twitter-sentiment-analysis 1,322 0 0 about 3 years ago 0 20 mit Python
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis 460 0 0 about 2 years ago 0 21 mit 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
cbaziotis/datastories-semeval2017-task4 171 0 0 almost 8 years ago 0 8 mit Python
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
williamleif/socialsent 171 0 0 almost 5 years ago 3 March 07, 2017 11 apache-2.0 Python
Code and data for inducing domain-specific sentiment lexicons.
BrambleXu/nlp-beginner-guide-keras 149 0 0 over 3 years ago 0 7 Jupyter Notebook
NLP model implementations with keras for beginner
THINK989/Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN 125 0 0 over 2 years ago 0 39 mit Python
AlexYangLi/ABSA_Keras 103 0 0 about 6 years ago 0 3 Python
Keras Implementation of Aspect based Sentiment Analysis
ugis22/analysing_twitter 102 0 0 over 2 years ago 0 2 mit Jupyter Notebook
Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.
stevewyl/keras_text_classification 88 0 0 over 7 years ago 0 1 Python
implement some fancy text classification models by using keras
Chevalier1024/SOHU-baseline 60 0 0 almost 7 years ago 0 1 Python
搜狐校园算法大赛baseline
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