Experimenting with Twitter API's and gathering tweets from twitter
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[DEPRECATED] 💰 A foreign exchange rates and currency conversion API
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This is the time series forecasting models modified by xinze.zh.
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Virtual-Node-Isolation-Forestby Qixing-AnhuiUniversity
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License: No License (No License)This is the source code of "Virtual Node Isolation Forest", an real-time online outlier detection method.
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Demonstration of the use of basic sentiment analysis in a bot
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💱 This package provides simple access to current currency exchange rates.
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Example stock trading algorithm for the Alpaca API that uses VADER to perform sentiment analysis on tweets.
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Sparse-Kernel-PCA-for-outlier-detectionby AdityaGolatkar
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License: No License (No License)Our codes and results for our work on SKPCA for outlier detection.
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StockInsight predicts the stock prices using Neural Networks. It uses Elasticsearch, Twitter data, News Headlines and sentiment analysis to find the effect of emotions on the stock price. How much do emotions on twitter and news headlines affect stock price? What could be the price of stock within next 30 minutes?
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twittter-sentiment-analysisby brunodpoliveira
Python 2 Version:Current License: Strong Copyleft (GPL-3.0)
A free and open-source sentiment analysis program, using Twitter data
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Using Python's Natural Language Tool Kit, I developed a program to analyze the sentiment of incoming Reddit comments. To do this I use 7 different Naive Bayes algorithms to 'vote' on the sentiment of an input. First, I train them with 5000 different positive movie reviews and 5000 different negative movie reviews. After training, I create a stream of comments filtered by designated keywords taken from Reddit and feed these in to the program. If at least 6 of the 7 algorithms agree on either a positive or negative sentiment then I would use that data to construct a live graph. This allowed me to create visualizations of Reddit's opinion on various topics in real time.
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twitter-sentiment-analysisby gabicavalcante
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Realtime Streaming Anomaly-Detection on Massive Log Files
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idea of a new outlier detection algorithm
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General Integrated Modeling environment for the Supply of Electricity and Low-temperature heat
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A Simple approach to check the best models according to the the given data.
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Community-aware detection of anomalies
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Anomaly detection using Benford's Law
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Code for paper "Making the Best Use of Review Summary for Sentiment Analysis"
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takes Finviz articles and gives sentiment score
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Code for the paper "Evaluating Attribution Methods using White-Box LSTMs."
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A Python script to scrape comments from a subreddit involving or relating to a specific keyword, then performing sentiment analysis on it and visualizing the most frequent words in a word-cloud.
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Library for generating laws of adaptive control with identification
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Python Code for Sentiment analyzer with Twitter data, having 2 other data set of negative and positive "negative_words" and "positive_words" .
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This Twitter analysis tool analyses sets of tweets with respect to sentiment, emotions expressed, political leaning and other interesting linguistic features.
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A Python library for the retrieval of historical weather data.
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Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Long Short-Term Memory and Multivariate Gaussian Model
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Predicting Stock market for certain companies by using their sentiment polarity obtained from twitter
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Predicting employee turnover by using a simple ANN model
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Implementation of the LOCI outlier detection algorithm in Python, based on the paper Papadimitriou, S., Kitagawa, H., Gibbons, P.B. and Faloutsos, C., 2003, March, Loci: Fast outlier detection using the local correlation integral.
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Analysis of Sentiments of Tweet posted real time.
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log-linear-sentiment-classifierby RobinRojowiec
Python 2 Version:Current License: Permissive (Apache-2.0)
Log linear model for sentiment classification
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Positive or negative sentiment analysis from text
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Final project for CIS 6930 Social Media Mining. Utilizing text summarization using recurrent neural networks for hashtag generation of tweets.
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News Aggregations and Sentiment Analysis app
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Sentiment Analysis on tweets from the political domain to predict the popularity of different political parties.
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A weather forecast service written in python with the use of flask. Gets forecast data from http://opendata.dwd.de
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Unsupervised Adversarial Anomaly Detection
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Console app to check information about weather in Katowice. All the data are thanks to http://meteo.gig.eu/.
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AspectBasedSentimentAnalysisby ridakadri14
Python 2 Version:Current License: No License (No License)
License: No License (No License)Aspect Based Sentiment Analysis of text using semEval datasets
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Sentiment analysis of lyrics for top 10 songs by various artists
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Load and solar energy forecasting
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Three approaches for Bayesian model comparison
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Real-time-Twitter-Sentiment-Analysisby PraneethVasarla
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License: No License (No License)This project retrieves tweets in real time based on the supplied search term and calculates the sentiment and generates a pie chart. The sentiment is classified as 3 different categories namely positive,negative and neutral.
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comparison analysis between two texts
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connect to bank parsian
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twitter_data_miningby AshleyXWong
Experimenting with Twitter API's and gathering tweets from twitter
Python 2Updated: 4 y ago License: No License (No License)
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fixer-rateby bukinoshita
[DEPRECATED] 💰 A foreign exchange rates and currency conversion API
JavaScript 2Updated: 5 y ago License: Permissive (MIT)
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TimeSeriesForecasting-torchby XinzeZhang
This is the time series forecasting models modified by xinze.zh.
Python 2Updated: 3 y ago License: No License (No License)
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Virtual-Node-Isolation-Forestby Qixing-AnhuiUniversity
This is the source code of "Virtual Node Isolation Forest", an real-time online outlier detection method.
Python 2Updated: 4 y ago License: No License (No License)
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SentimentBotby ryanvolum
Demonstration of the use of basic sentiment analysis in a bot
JavaScript 2Updated: 5 y ago License: No License (No License)
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simple-currency-ratesby rapidwebltd
💱 This package provides simple access to current currency exchange rates.
PHP 2Updated: 6 y ago License: Weak Copyleft (LGPL-3.0)
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Alpaca-Sentiment-Traderby hansenrhan
Example stock trading algorithm for the Alpaca API that uses VADER to perform sentiment analysis on tweets.
Python 2Updated: 4 y ago License: Permissive (MIT)
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Sparse-Kernel-PCA-for-outlier-detectionby AdityaGolatkar
Our codes and results for our work on SKPCA for outlier detection.
Python 2Updated: 5 y ago License: No License (No License)
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StockInsightby ultraultimated
StockInsight predicts the stock prices using Neural Networks. It uses Elasticsearch, Twitter data, News Headlines and sentiment analysis to find the effect of emotions on the stock price. How much do emotions on twitter and news headlines affect stock price? What could be the price of stock within next 30 minutes?
Python 2Updated: 3 y ago License: Strong Copyleft (GPL-3.0)
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twittter-sentiment-analysisby brunodpoliveira
A free and open-source sentiment analysis program, using Twitter data
Python 2Updated: 3 y ago License: Strong Copyleft (GPL-3.0)
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reddit-sentiment-analysisby bkent97
Using Python's Natural Language Tool Kit, I developed a program to analyze the sentiment of incoming Reddit comments. To do this I use 7 different Naive Bayes algorithms to 'vote' on the sentiment of an input. First, I train them with 5000 different positive movie reviews and 5000 different negative movie reviews. After training, I create a stream of comments filtered by designated keywords taken from Reddit and feed these in to the program. If at least 6 of the 7 algorithms agree on either a positive or negative sentiment then I would use that data to construct a live graph. This allowed me to create visualizations of Reddit's opinion on various topics in real time.
Python 2Updated: 3 y ago License: No License (No License)
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twitter-sentiment-analysisby gabicavalcante
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BlackSwanby esowc
Realtime Streaming Anomaly-Detection on Massive Log Files
Python 2Updated: 4 y ago License: Permissive (MIT)
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split-and-mergeby a-blaise
Python 2Updated: 5 y ago License: Strong Copyleft (GPL-3.0)
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Outlier-Detectionby Ayo616
idea of a new outlier detection algorithm
Python 2Updated: 4 y ago License: No License (No License)
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grimselby mcsoini
General Integrated Modeling environment for the Supply of Electricity and Low-temperature heat
Python 2Updated: 4 y ago License: Permissive (BSD-2-Clause)
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ML_Web_NLPby NUS-Fintech-Society
Python 2Updated: 3 y ago License: No License (No License)
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Spot_checking_algorithmby CooperPair
A Simple approach to check the best models according to the the given data.
Python 2Updated: 5 y ago License: No License (No License)
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cadaby thomashelling
Community-aware detection of anomalies
Python 2Updated: 3 y ago License: No License (No License)
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benfords_lawby gbushnell
Anomaly detection using Benford's Law
Python 2Updated: 3 y ago License: No License (No License)
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sentiment-review-summaryby RingoS
Code for paper "Making the Best Use of Review Summary for Sentiment Analysis"
Python 2Updated: 3 y ago License: Permissive (MIT)
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webscrap_sentimentAnalby shnog
takes Finviz articles and gives sentiment score
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whitebox-lstmby yidinghao
Code for the paper "Evaluating Attribution Methods using White-Box LSTMs."
Python 2Updated: 3 y ago License: Permissive (MIT)
2Updated: 3 y ago License: Permissive (MIT)Support
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Reddit-Sentiment-Analysisby syedaminx
A Python script to scrape comments from a subreddit involving or relating to a specific keyword, then performing sentiment analysis on it and visualizing the most frequent words in a word-cloud.
Python 2Updated: 3 y ago License: Permissive (MIT)
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cotpyby redb0
Library for generating laws of adaptive control with identification
Python 2Updated: 3 y ago License: Permissive (BSD-3-Clause)
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Sentiment-Analyzerby jeetbarot1998
Python Code for Sentiment analyzer with Twitter data, having 2 other data set of negative and positive "negative_words" and "positive_words" .
Python 2Updated: 3 y ago License: No License (No License)
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final-year-projectby a-mcloughlin
This Twitter analysis tool analyses sets of tweets with respect to sentiment, emotions expressed, political leaning and other interesting linguistic features.
Python 2Updated: 3 y ago License: No License (No License)
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WorldWeatherPyby David-Woroniuk
A Python library for the retrieval of historical weather data.
Python 2Updated: 3 y ago License: Permissive (MIT)
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LGDAMby IoTLabDLUT
Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Long Short-Term Memory and Multivariate Gaussian Model
Python 2Updated: 5 y ago License: No License (No License)
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Stock-Predictionby khansaadbinhasan
Predicting Stock market for certain companies by using their sentiment polarity obtained from twitter
Python 2Updated: 4 y ago License: Permissive (MIT)
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ANN-employee-turnoverby alexandreohara
Predicting employee turnover by using a simple ANN model
Python 2Updated: 5 y ago License: No License (No License)
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lociby Cloudy10
Implementation of the LOCI outlier detection algorithm in Python, based on the paper Papadimitriou, S., Kitagawa, H., Gibbons, P.B. and Faloutsos, C., 2003, March, Loci: Fast outlier detection using the local correlation integral.
Python 2Updated: 3 y ago License: Permissive (MIT)
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TweetSentimentAnalysisby Progmmer4Life
Analysis of Sentiments of Tweet posted real time.
Python 2Updated: 5 y ago License: No License (No License)
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ML_project_2by emmwel
Python 2Updated: 4 y ago License: No License (No License)
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G2D_generate_to_detect_anomalyby masoudpz
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log-linear-sentiment-classifierby RobinRojowiec
Log linear model for sentiment classification
Python 2Updated: 4 y ago License: Permissive (Apache-2.0)
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sentiment-analysisby kramamur
Positive or negative sentiment analysis from text
Python 2Updated: 3 y ago License: No License (No License)
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twitter-hashtag-generatorby anwesht
Final project for CIS 6930 Social Media Mining. Utilizing text summarization using recurrent neural networks for hashtag generation of tweets.
Python 2Updated: 4 y ago License: Permissive (MIT)
2Updated: 4 y ago License: Permissive (MIT)Support
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gpi-tl-hermesby greenpeace
News Aggregations and Sentiment Analysis app
Python 2Updated: 5 y ago License: No License (No License)
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Campaign-Assistantby animeshy
Sentiment Analysis on tweets from the political domain to predict the popularity of different political parties.
Python 2Updated: 4 y ago License: Permissive (MIT)
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BetterWeather-Serverby Faldon
A weather forecast service written in python with the use of flask. Gets forecast data from http://opendata.dwd.de
Python 2Updated: 4 y ago License: Permissive (BSD-3-Clause)
2Updated: 4 y ago License: Permissive (BSD-3-Clause)Support
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AdversarialAnomalyDetectionby SeonghoBaek
Unsupervised Adversarial Anomaly Detection
Python 2Updated: 5 y ago License: Permissive (Apache-2.0)
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Weather-Checkerby mwalasz
Console app to check information about weather in Katowice. All the data are thanks to http://meteo.gig.eu/.
C# 2Updated: 5 y ago License: No License (No License)
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AspectBasedSentimentAnalysisby ridakadri14
Aspect Based Sentiment Analysis of text using semEval datasets
Python 2Updated: 3 y ago License: No License (No License)
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sentiment-analysis-of-lyricsby briana-li
Sentiment analysis of lyrics for top 10 songs by various artists
Python 2Updated: 4 y ago License: No License (No License)
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Load-and-solar-energy-forecastingby we7el
Load and solar energy forecasting
Python 2Updated: 4 y ago License: No License (No License)
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bayesian_model_comparisonby RobRomijnders
Three approaches for Bayesian model comparison
Python 2Updated: 5 y ago License: No License (No License)
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Real-time-Twitter-Sentiment-Analysisby PraneethVasarla
This project retrieves tweets in real time based on the supplied search term and calculates the sentiment and generates a pie chart. The sentiment is classified as 3 different categories namely positive,negative and neutral.
Python 2Updated: 5 y ago License: No License (No License)
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text-comparisonby RickyOnGit
comparison analysis between two texts
PHP 2Updated: 3 y ago License: Permissive (MIT)
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parsian-bankby jsoltani
connect to bank parsian
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