1282 Open source projects that are alternatives of or similar to DeepSentiPers

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Text processing library for sentiment analysis and related tasks

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

搜索所有中文NLP数据集，附常用英文NLP数据集

data resource untuk NLP bahasa indonesia

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

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.

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Context-Dependent Sentiment Analysis in User-Generated Videos

Opinion Mining/Sentiment Analysis Classifier using Genetic Programming

Rank 1 / 216

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

LSTM and CNN sentiment analysis

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

This repo contains implementation of different architectures for emotion recognition in conversations.

Implementation of a hierarchical CNN based model to detect Big Five personality traits

📚 Text classification library with Keras

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

ConText v4: Neural networks for text categorization

All about Neural Networks!

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

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

An emotion classifier of text containing technical content from the SE domain

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

LSTM RNN for sentiment-based stock prediction

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

My Attempt(s) In The World Of ML/DL....

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Chatbot in 200 lines of code using TensorLayer

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

文本情感分析

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Sentiment Analysis with LSTMs in Tensorflow

Data augmentation for NLP, presented at EMNLP 2019

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

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

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Aspect Based Sentiment Analysis using End-to-End Memory Networks

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

An emotion-polarity classifier specifically trained on developers' communication channels

Attention-based multimodal fusion for sentiment analysis

Text classification meets word embeddings.

Sarcasm Detection for Sentiment Analysis

Sentiment Strength Detection in Bahasa Indonesia

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

Sentiment analysis and opinion mining of Reddit data.

A time series signal analysis and classification framework

XED multilingual emotion datasets

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

CLUE Emotion Analysis Dataset 细粒度情感分析数据集

Sentiment Analysis: Deep Bi-LSTM+attention model

Bidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.