Topic: sentiment-scores Goto Github
Some thing interesting about sentiment-scores
Some thing interesting about sentiment-scores
sentiment-scores,This case-study investigates what was world's reaction on Twitter during covid-19 pandemic. Tweets over a period of 7 months were classified as hate, offensive along with emotions involved.
User: abhisheksaxena1998
Home Page: https://coronacase-study.herokuapp.com/
sentiment-scores,Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.
User: aditeyabaral
sentiment-scores,A rating-based sentiment dataset of IMDB movie reviews (WASSA 2014)
User: daiquocnguyen
sentiment-scores,Russian Lexicons for Text Analysis
User: dmafanasyev
Home Page: https://dmafanasyev.github.io/rulexicon/
sentiment-scores,Evaluated the performance of classification and regression methods of predicting the market change.
User: ellislam
sentiment-scores,Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
User: gandalf1819
sentiment-scores,Extract sentiment of every US public company from financial news headlines
User: giuetr
sentiment-scores,In this project, we scraped beer reviews from Beeradvocate.com and used them to build a beer recommendation system with various text mining concepts.
User: haohe1113
sentiment-scores,This project uses BERT(Bidirectional Encoder Representations from Transformers) for Yelp-5 fine-grained sentiment analysis. It also explores various custom loss functions for regression based approaches of fine-grained sentiment analysis.
User: huspark
sentiment-scores,A repository for the Modern Java Technologies Course @ FMI
User: ivaylo-georgiev
sentiment-scores,Predicting Community School Satisfaction With NLP
User: kevinmacmat
sentiment-scores,Sentiment analysis, text mining, topic modeling & sentiment prediction
User: lprtk
sentiment-scores,Sentiment Analysis on Game Review using TextBlob-lexicon and rule-based sentiment.
User: mananp96
sentiment-scores,Super simple sentiment analysis with AFINN.
User: merelinguist
Home Page: https://npm.im/mindreader
sentiment-scores,Sentiment classifier and polarity lexicon creator
User: nameisxi
sentiment-scores,A sentiment analyser in R that pulls tweets related to cryptocurrencies and plots the graphs related to how +ve or -ve the tweets are. Analyses BTC, ETH and LTC
User: niki864
sentiment-scores,A simple sentiment detector open-source module for node.js
User: nishantshah977
Home Page: https://github.com/nishantshah977/sentimo#readmeMd
sentiment-scores,Sentiment analysis of tweets using oauth2 in python.
User: pavitrakumar78
sentiment-scores,Sentiment per topic calculation for italian text
User: plachido
sentiment-scores,Replication materials. Máté Á, Sebők M, Barczikay T (2021) The effect of central bank communication on sovereign bond yields: The case of Hungary. PLoS ONE 16(2): e0245515. https://doi.org/10.1371/journal.pone.0245515
Organization: poltextlab
sentiment-scores,Download reddit posts based on keywords and perform sentiment analysis on the posts.
User: pratikpv
sentiment-scores,OpenAI Finance News Sentiment Analysis
User: pylyf
sentiment-scores,Analysing Blessthefall songs' lyrics with Sentiment Analysis
User: rafaelgreca
sentiment-scores,Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
User: rahatzamancse
sentiment-scores,machine learning sentiment analysis using apache opennlp
User: sagar-kale
sentiment-scores,The R code of implementation is provided.
User: sakshijain23
sentiment-scores,Encyclopedic Hub for Sentiment Dictionaries
Organization: socius-org
Home Page: https://doc.socius.org/sentibank/about
sentiment-scores,This project uses Lexicon-based approach for sentimental analysis of 1000 recent tweets of 4 countries. A sentiment score for each tweet is computed to ascertain the overall nature of the tweet.
User: surya-murali
Home Page: https://github.com/Surya-Murali/Sentiment-Analysis-of-Twitter-Data-by-Lexicon-Approach
sentiment-scores,A Web Scraping project to analyze product reviews in Amazon.com. A sentiment analysis is done and the reviews are sorted and highlighted in green or red based on the sentiment score.
User: surya-murali
Home Page: https://github.com/Surya-Murali/Web-Scraping-and-Amazon-Reviews-Analysis
sentiment-scores,A sentiment visualization app utilizing TensorFlow ML Library for sentiment analysis and D3 JS for visualization
User: theomantz
sentiment-scores,☯️ Interactive text sentiment analysis with score and result.
User: thomaserhel
Home Page: https://thomaserhel.github.io/ml5-sentiment
sentiment-scores,résumé automatique de texte oriente vers la prévention, l’éradication et détection des maladies ravageuses déclenchées sur les réseaux sociaux (twitter) cas de l’ebola , meningite et malaria
User: u17289077
sentiment-scores,Compute the sentiment of each tweet based on the sentiment scores of the terms in the tweet. The sentiment of a tweet is equivalent to the sum of the sentiment scores for each term in the tweet.
User: vishalshar
sentiment-scores,Accurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉
Organization: winkjs
Home Page: http://winkjs.org/wink-sentiment
sentiment-scores,This small project uses TextBlob to analyze twitter data from a user-provided city name
User: zoharsf
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