665 Open source projects that are alternatives of or similar to CharLSTM

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

LSTM RNN for sentiment-based stock prediction

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

Sentiment Analysis: Deep Bi-LSTM+attention model

Context-Dependent Sentiment Analysis in User-Generated Videos

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

All about Neural Networks!

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

Sentiment Analysis with LSTMs in Tensorflow

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

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

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

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

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

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

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.

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

ConText v4: Neural networks for text categorization

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

文本情感分析

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

📚 Text classification library with Keras

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.

Attention-based multimodal fusion for sentiment analysis

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

Sarcasm Detection for 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

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

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

Sentiment analysis and opinion mining of Reddit data.

LSTM to predict wind speed

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

Sentiment Analysis on twitter using Keras / TensorFlow / GloVe

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Sentiment analysis with variable length sequences in pytorch

A stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community sentiments.

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

Predict traffic flow with LSTM. For experimental purposes only, unsupported!

A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis, PyTorch implementation.

Stocktwits market sentiment analysis in Python with Keras and TensorFlow.

XED multilingual emotion datasets

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

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

LSTM, GRU cell implementation from scratch in tensorflow

🚀🚀 Fetch, parse, categorize, summarize user reviews 🚀🚀

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Artificially intelligent typing assistant that suggest the next word using user typing history and full sentence using LSTM . Works with any environment (MS word, notepad, coding IDEs or anything)

Spectrum is an AI that uses machine learning to generate Rap song lyrics

A Chinese financial sentiment word dictionary

Optical character recognition Using Deep Learning

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

Social Analysis based on Whatsapp data

Forecasting Solar Power: Analysis of using a LSTM Neural Network

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

图像自动标注

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

An app to analyze tweets using Amazon Comprehend's Sentiment Analysis service

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY