Stock AnalysisRegression, Scrapers, and Visualization
Stars: ✭ 255 (+304.76%)
Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock 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
Stars: ✭ 101 (+60.32%)
CharLSTMBidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation
Stars: ✭ 49 (-22.22%)
fsauor2018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
Stars: ✭ 36 (-42.86%)
restaurant-finder-featureReviewsBuild a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
Stars: ✭ 21 (-66.67%)
XEDXED multilingual emotion datasets
Stars: ✭ 34 (-46.03%)
bert sabert sentiment analysis tensorflow serving with RESTful API
Stars: ✭ 35 (-44.44%)
nlpserverNLP Web Service
Stars: ✭ 76 (+20.63%)
FinBERTA Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
Stars: ✭ 193 (+206.35%)
DialogueCRNSource code for ACL-IJCNLP 2021 paper "DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations"
Stars: ✭ 29 (-53.97%)
DeepSentiPersRepository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
Stars: ✭ 17 (-73.02%)
PBAN-PyTorchA Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis, PyTorch implementation.
Stars: ✭ 33 (-47.62%)
MachineLearningโค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]
Stars: ✭ 28 (-55.56%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (+4.76%)
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Stars: ✭ 19 (-69.84%)
StocksentA Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results. 📈📊📰
Stars: ✭ 35 (-44.44%)
InterGCN-ABSA[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis
Stars: ✭ 41 (-34.92%)
ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (+25.4%)
NSP-BERTThe code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
Stars: ✭ 166 (+163.49%)
NewsMTSCTarget-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
Stars: ✭ 54 (-14.29%)
textlyticsText processing library for sentiment analysis and related tasks
Stars: ✭ 25 (-60.32%)
VBLinLogitVariational Bayes linear and logistic regression
Stars: ✭ 25 (-60.32%)
Stock-PredictionLSTM RNN for sentiment-based stock prediction
Stars: ✭ 50 (-20.63%)
Market-Mix-ModelingMarket Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
Stars: ✭ 31 (-50.79%)
LinLP使用Python进行自然语言处理相关实践,如新词发现,主题模型,隐马尔模型词性标注,Word2Vec,情感分析
Stars: ✭ 43 (-31.75%)
stock-news-sentiment-analysisThis program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock
Stars: ✭ 21 (-66.67%)
vista-netCode for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19
Stars: ✭ 67 (+6.35%)
SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (-49.21%)
Sentic-GCN[KBS] Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
Stars: ✭ 19 (-69.84%)
stocktwits-sentimentStocktwits market sentiment analysis in Python with Keras and TensorFlow.
Stars: ✭ 23 (-63.49%)
sentRSimple sentiment analysis framework for R
Stars: ✭ 31 (-50.79%)
stats📈 Useful notes and personal collections on statistics.
Stars: ✭ 16 (-74.6%)
LSXA word embeddings-based semi-supervised model for document scaling
Stars: ✭ 42 (-33.33%)
StewardA stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community sentiments.
Stars: ✭ 25 (-60.32%)
models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (-31.75%)
MemNet ABSANo description or website provided.
Stars: ✭ 20 (-68.25%)
TwEaterA Python Bot for Scraping Conversations from Twitter
Stars: ✭ 16 (-74.6%)
abessFast Best-Subset Selection Library
Stars: ✭ 266 (+322.22%)
rmiA learned index structure
Stars: ✭ 51 (-19.05%)
billboard🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
Stars: ✭ 53 (-15.87%)
lorcaNatural Language Processing for Spanish in Node.js. Stemmer, sentiment analysis, readability, tf-idf with batteries, concordance and more!
Stars: ✭ 95 (+50.79%)
ML-CourseraThis repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
Stars: ✭ 66 (+4.76%)
sentiment-thermometerMeasure the sentiment towards a word, name or sentence on social networks
Stars: ✭ 56 (-11.11%)