Iarm

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis, EMNLP 2018
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
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Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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a year ago20mitPython
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
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10 months ago8mitPython
This repo contains implementation of different architectures for emotion recognition in conversations.
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3 years ago13apache-2.0Jupyter Notebook
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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Sentiment Analysis with LSTMs in Tensorflow
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis460
2 months ago21mitPython
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
Sentimentanalysis331
6 years ago8Jupyter Notebook
文本情感分析
Thesemicolon312
6 years ago16Jupyter Notebook
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Personality Detection273
4 years ago21mitPython
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Cs291k272
6 years agoPython
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
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