Topic: afinn Goto Github
Some thing interesting about afinn
Some thing interesting about afinn
afinn,Sentiment Analyzer using NLP
User: adityachanekar
afinn,Dart Sentiment is a dart module that uses the AFINN-165 wordlist and Emoji Sentiment Ranking to perform sentiment analysis on arbitrary blocks of input text.
User: akashlilhare
afinn,AFINN for Indonesian Tales Classification
User: aryswisnu
afinn,A FER, AFINN and Heart-Monitoring system to intergrate into NLP/LLM, Game Engines, and more, by detecting the player's heart rate and emotional state throught gameplay to create more reactive scenarios and NPCs
User: ashthetik
afinn,Analyzing yelp dataset ==> https://www.yelp.com/dataset_challenge
User: cavind46016
afinn,Experiments with web crawling, scraping, and indexing a collection of web documents. Clustering the indexed data with k-means algorithm. Each resulting cluster is assigned a sentiment score using AFINN - a sentiment analysis script.
User: chihiroanihr
afinn,Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.
User: cosmoduende
afinn,:performing_arts: AFINN-111 sentiment analysis scoring library for Node.js
User: danieljohnbenton
afinn,:performing_arts: Score sentences in a source text by POSITIVE or NEGATIVE sentiment; find best and worst sentences; plot sentiment on graphs in various ways
User: danieljohnbenton
afinn,Automated IRC client which can connect to Twitch chat and analyse the current sentiment and dominant emotions in real-time.
User: deerzen
afinn,Extremely fast sentiment analysis for nodejs. More than 5 times faster than alternatives. Zero dependencies
User: dolegi
afinn,AFINN sentiment analysis in c#
User: doxakis
afinn,This is a Natural Language Processing Project using VADER, Afinn, Textblob, Transformers and ML model. Also using Flask.
User: eakta08
afinn,This work is a text analysis in R based on the NASA data found in: https://data.nasa.gov/data.json . The text analysis is based in different steps starting with lexicons. Further investigating positive and negative sentiments on a world cloud . Also, correlations between words are analysed.
User: egjika
afinn,AFINN sentiment analysis in Python
User: fnielsen
afinn,This project aims to implement the result of the sentence-level and word-level polarity of a given text.
User: gazelle93
afinn,🤖 That's a message sentiment analysis chat integrated with Meaning Cloud API.
User: guilhermebkel
afinn,sentiment analysis on quora answers based on word frequency [Deprecated]
User: inishchith
Home Page: http://inishchith.github.io/quora-sentiment-analysis/
afinn,Sentiment Analysis in Javascript using the various lexicons including AFINN-165, VADER, NRC Word-Emotion Association, Bing and Loughran-McDonald
User: jianloong
Home Page: https://jian.sh/sentimentanalysis/
afinn,Sentiment Analysis of a Twitter Topic with Spark Structured Streaming
User: kaantas
afinn,"Factual Eye" is a Fake News Detection mobile application developed as our graduation project. Utilizing machine learning and deep learning models, our project aims to combat misinformation effectively.
User: karimelmolla
afinn, Sentiment analysis in Kotlin.
Organization: kotlin-tools
afinn,Sentiment analysis in Elixir.
User: kupolak
afinn,Text miner, polarity rater with results between -100% and +100%
User: mehmet-kozan
afinn,Super simple sentiment analysis with AFINN.
User: merelinguist
Home Page: https://npm.im/mindreader
afinn,Our goal in this group project is to apply NLP and other features from Yelp reviews into a model that outputs a new 5-star-rating, so that there is less discrepancy between reviews and star ratings. In order to make our model more robust, we will also incorporate new user star-ratings based on reviews read (meaning that someone who did not write the review gives a star-rating based on the review text alone) into our model so that it better reflects the review sentiment. We used multiple ML models, including: Naive Bayes, k-NN, K-Means, LSTM, N-Gram, TD-IDF and Linear Regression
User: minas26902
afinn,🙂😕😣 sentiment analysis using the AFINN-111 dataset
User: momtr
afinn,vscode sentiment extension based on the AFINN word list
User: mziyabo
Home Page: https://marketplace.visualstudio.com/items?itemName=mziyabo.vscode-sentiment
afinn,Sentiment analysis in Ruby. Languages supported: English 🇬🇧, Danish 🇩🇰
Organization: prograils
afinn,Sentiment analysis of twitter users tweets by their usernames using AFINN.
User: raymondcm
Home Page: https://delightfulr.herokuapp.com/
afinn,plugin to detect sentiment
Organization: retextjs
Home Page: http://retextjs.github.io/retext-sentiment
afinn,The goal of this project was build recommender systems using K-means and ALS based on the average ratings. It recommends similar books, recommends author based on a book title, recommends high rated books of the author.
User: saahilk1511
afinn,Sentiment Analysis of Movie Reviews
User: satishrath185
afinn,Twitter semisupervised sentiment analysis with AFINN
User: sor8sh
afinn,Developed a Python program that scrapes tweets off Twitter using twint, based on the user’s input and exports the data as CSV. Extracted and analyzed sentiments using Afinn to examine how positive or negative the tweets are, using Matplotlib to display them on a pie chart.+more
User: tevindonte
afinn,AFINN-based sentiment analysis for Node.js.
User: thisandagain
afinn,AFINN 111 list of English words rated for valence
User: tiaanduplessis
afinn,A web scraping and sentiment data analysis of 707 Star Trek episodes, including The Original Series, The Animated Series, The Next Generation, Deep Space Nine, Voyager, and Enterprise.
User: tonyv-vo
afinn,Sentiment analysis based on afinn-165, emojis and some enhancements.
User: uesteibar
Home Page: https://hex.pm/packages/veritaserum
afinn,The objective of the project is to detect the underlying sentiments of the product reviews. Classifying the reviews as positive, negative and neutral helps to determine the overall emotion behind the product and assist business strategies.
User: ugr-gowthamraj
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