twitter-aws-comprehendAn app to analyze tweets using Amazon Comprehend's Sentiment Analysis service
Stars: ✭ 13 (-38.1%)
Bulbea🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Stars: ✭ 1,585 (+7447.62%)
image-background-remove-tool✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
Stars: ✭ 767 (+3552.38%)
TextclfTextClf :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。
Stars: ✭ 105 (+400%)
pystocklibPython library to Fetch & Analyze Stock Market data.
Stars: ✭ 23 (+9.52%)
bert-sentimentFine-grained Sentiment Classification Using BERT
Stars: ✭ 49 (+133.33%)
Scon-ABSA[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning
Stars: ✭ 17 (-19.05%)
BixinChinese Sentiment Analysis 中文文本情感分析
Stars: ✭ 104 (+395.24%)
phone-reviews-nlpModern NLP and sentiment analysis on amazon mobile phone reviews
Stars: ✭ 21 (+0%)
anuvadaInterpretable Models for NLP using PyTorch
Stars: ✭ 102 (+385.71%)
Wallstreetbets Sentiment AnalysisThis program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
Stars: ✭ 103 (+390.48%)
athenaOpinion mining
Stars: ✭ 25 (+19.05%)
afinn-111AFINN 111 (list of English words rated for valence) in JSON
Stars: ✭ 44 (+109.52%)
Learning Social Media Analytics With RThis 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
Stars: ✭ 102 (+385.71%)
ReactionrnnPython module + R package to predict the reactions to a given text using a pretrained recurrent neural network.
Stars: ✭ 299 (+1323.81%)
LinusrantsDataset of Linus Torvalds' rants classified by negativity using sentiment analysis
Stars: ✭ 291 (+1285.71%)
Cs291k🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
Stars: ✭ 287 (+1266.67%)
Bert For Rrc Absacode for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
Stars: ✭ 286 (+1261.9%)
pfootprintPolitical Discourse Analysis Using Pre-Trained Word Vectors.
Stars: ✭ 20 (-4.76%)
Real Time DataMining Software携程/榛果民宿实时评论挖掘软件,包含数据的实时采集/数据清洗/结构化保存/ UGC 数据主题提取/情感分析/后结构化可视化等技术的综合性演示 Demo。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。主要克服用户打分和评论不一致,实时对携程和美团在线民宿的满意度进行评测以及对额外数据进行可视化的综合性工具,多维度的对在线 UGC 进行数据挖掘并可视化,demo 视频演示见链接。
Stars: ✭ 43 (+104.76%)
BertweetBERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
Stars: ✭ 282 (+1242.86%)
Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Stars: ✭ 30 (+42.86%)
LanguagecrunchLanguageCrunch NLP server docker image
Stars: ✭ 281 (+1238.1%)
IanA TensorFlow implementation for "Interactive Attention Networks for Aspect-Level Sentiment Classification"
Stars: ✭ 91 (+333.33%)
TLAA comprehensive tool for linguistic analysis of communities
Stars: ✭ 47 (+123.81%)
SA-DLSentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.
Stars: ✭ 35 (+66.67%)
Spark NlpState of the Art Natural Language Processing
Stars: ✭ 2,518 (+11890.48%)
Twitter Sent DnnDeep Neural Network for Sentiment Analysis on Twitter
Stars: ✭ 270 (+1185.71%)
Orange3 Text🍊 📄 Text Mining add-on for Orange3
Stars: ✭ 83 (+295.24%)
node-alchemyAn Alchemy API library for Node.JS
Stars: ✭ 54 (+157.14%)
Dialogue UnderstandingThis repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Stars: ✭ 77 (+266.67%)
CadmiumNatural Language Processing (NLP) library for Crystal
Stars: ✭ 172 (+719.05%)
Weibo terminator workflowUpdate Version of weibo_terminator, This is Workflow Version aim at Get Job Done!
Stars: ✭ 259 (+1133.33%)
Stock AnalysisRegression, Scrapers, and Visualization
Stars: ✭ 255 (+1114.29%)
graspEssential NLP & ML, short & fast pure Python code
Stars: ✭ 58 (+176.19%)
presidential-rnnProject 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.
Stars: ✭ 26 (+23.81%)
laravel-nlpLaravel wrapper for common NLP tasks
Stars: ✭ 41 (+95.24%)
Sentiment classifierSentiment Classification using Word Sense Disambiguation
Stars: ✭ 169 (+704.76%)
neuralnets-semanticsWord semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch
Stars: ✭ 15 (-28.57%)
twitter sentiment challengeThe code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet.
Stars: ✭ 14 (-33.33%)
Multi-Type-TD-TSRExtracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Stars: ✭ 174 (+728.57%)
neuro-evolutionA project on improving Neural Networks performance by using Genetic Algorithms.
Stars: ✭ 25 (+19.05%)
deep-semantic-code-searchDeep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application
Stars: ✭ 63 (+200%)
SumrizedAutomatic Text Summarization (English/Arabic).
Stars: ✭ 37 (+76.19%)
awesome-yoruba-nlp📖 A curated list of resources dedicated to Natural Language Processing (NLP) in the Yoruba Language.
Stars: ✭ 21 (+0%)
SentimentalizerSentiment analysis with Machine Learning
Stars: ✭ 162 (+671.43%)