296 Open source projects that are alternatives of or similar to Bixin

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

Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

文本情感分析

😡😇 Stanford Sentiment Treebank loader in Python

Resources for learning about Text Mining and Natural Language Processing

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

📖 收集NLP领域相关的数据集、论文、开源实现，尤其是情感分析、情绪原因识别、评价对象和评价词抽取方面。

Baidu's open-source Sentiment Analysis System.

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

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.

Dictionary based sentiment analysis that considers valence shifters

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

Reading list for Awesome Sentiment Analysis papers

ML that can extract german and english sentiment

Python module + R package to predict the reactions to a given text using a pretrained recurrent neural network.

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

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

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

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

A TensorFlow implementation for "Interactive Attention Networks for Aspect-Level Sentiment Classification"

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

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.

基于在线民宿 UGC 数据的意见挖掘项目，包含数据挖掘和NLP 相关的处理，负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致，实时对在线民宿的满意度评测，包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口，可以进行自动化的批量查询 POI 信息的功能；构建了基于在线民宿语料的 LDA 自动主题聚类模型，利用主题中心词能找出对应的主题属性字典；以用户打分作为标注，然后 litNlp 自带的字符级 TextCNN 进行情感分析，将情感分类概率分布作为情感趋势，最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。

基于Word2Vec+SVM对电商的评论数据进行情感分析

Regression, Scrapers, and Visualization

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Laravel wrapper for common NLP tasks

This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.

Hashformers is a framework for hashtag segmentation with transformers.

Sentiment Analysis with LSTMs in Tensorflow

Stock price trend prediction with news sentiment analysis using deep learning

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

Kaggle Twitter Sentiment Analysis Competition

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Machine Learning (EE 5184) in NTU

Context-Dependent Sentiment Analysis in User-Generated Videos

Measure the sentiment towards a word, name or sentence on social networks

Opinion mining of Mobile reviews on Amazon platform

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

A TensorFlow implementation for "Recurrent Attention Network on Memory for Aspect Sentiment Analysis"

Sentiment Analyser: Sentiment Analysis of user feedback in Play Store to improve app quality!

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

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

Your Advanced Twitter stalking tool

Content based movie recommendation system with sentiment analysis

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.

LSTM RNN for sentiment-based stock prediction

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

No description or website provided.

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

A word embeddings-based semi-supervised model for document scaling

🍊 📄 Text Mining add-on for Orange3

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

A pythonic wrapper for Stanford CoreNLP.

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

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

细粒度用户评论情感分析

The implementation of ACL 2019 paper DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

Use NLP to predict stock price movement associated with news