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Top 297 sentiment-analysis open source projects

Real-time sentiment analysis in Python using twitter's streaming api
Natural Language Toolkit for bahasa Malaysia,
Text Cnn Tensorflow
Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow
Bayesian sentiment analysis
Pragmatic & Practical Bayesian Sentiment Classifier
AFINN-based sentiment analysis for Node.js.
Aspect Based Sentiment Analysis
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Interpretable data visualizations for understanding how texts differ at the word level
Sentiment analysis library for russian language
Mem absa
Aspect Based Sentiment Analysis using End-to-End Memory Networks
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Datastories Semeval2017 Task4
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Crypto trader
Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange
Weibospider sentimentanalysis
Natural Language Processing (NLP) library for Crystal
Sentiment classifier
Sentiment Classification using Word Sense Disambiguation
Sentiment analysis with Machine Learning
Nlp bahasa resources
A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia
Amazon Product Recommender System
Sentiment analysis on Amazon Review Dataset available at
Char Cnn Text Classification Pytorch
Character-level Convolutional Neural Networks for text classification in PyTorch
R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
Twitter Sentiment Visualisation
🌍 The R&D of a sentiment analysis module, and the implementation of it on real-time social media data, to generate a series of live visual representations of sentiment towards a specific topic or by location in order to find trends.
Sentiment analysis and visualization of real-time tweets using R
Rcnn Text Classification
Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
Ajax Movie Recommendation System With Sentiment Analysis
Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.
Stock Prediction
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Absa keras
Keras Implementation of Aspect based Sentiment Analysis
Camel tools
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Aspect Extraction
Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF
Aspect Based Sentiment Analysis
Aspect-Based Sentiment Analysis Experiments
Rnn Text Classification Tf
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Labeled Tweet Generator
Search for tweets and download the data labeled with its polarity in CSV format
Sa Papers
📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢
Fine Grained Sentiment
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
😃 iOS11 demo application for sentiment polarity analysis.
Chinese Sentiment Analysis 中文文本情感分析
Wallstreetbets Sentiment Analysis
This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis
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
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