sentiment-scores
There are 0 repository under sentiment-scores topic.
gandalf1819 / Stock-Market-Sentiment-Analysis
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
Language:R 93- wink-sentiment
winkjs / wink-sentiment
Accurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉
Language:JavaScript 61 pratikpv / reddit_scraper_and_sentiment_analyzer
Download reddit posts based on keywords and perform sentiment analysis on the posts.
Language:Python 18Surya-Murali / Web-Scraping-and-Amazon-Reviews-Analysis
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.
Language:R 16daiquocnguyen / SAR14
A rating-based sentiment dataset of IMDB movie reviews (WASSA 2014)
huspark / fine-grained-sentiment-analysis-with-bert
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.
Language:Python 8This 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.
Language:R 8aditeyabaral / lok-sabha-election-twitter-analysis
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.
Language:Jupyter Notebook 6rahatzamancse / Bangla-or-Banglish-or-English-Sentiment-Analysis-with-English-translation
Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
Language:Python 6dmafanasyev / rulexicon
Russian Lexicons for Text Analysis
Language:R 5niki864 / CryptoTweetSentiment
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
Language:R 5abhisheksaxena1998 / How-world-reacted-to-coronavirus-casestudy
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.
Language:Python 4- Language:Python 4
lprtk / nlp-amazon-customer-reviews
Sentiment analysis, text mining, topic modeling & sentiment prediction
Language:Jupyter Notebook 4manugaco / Project_Bachelors_Degree_Thesis
BSc thesis code
Language:R 4nishantshah977 / sentimo
A simple sentiment detector open-source module for node.js
Language:JavaScript 3socius-org / sentibank
Encyclopedic Hub for Sentiment Dictionaries
Language:Python 3poltextlab / central_bank_communication
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
Language:R 2sakshijain23 / Citation-Sentiment-Analysis
The R code of implementation is provided.
Language:R 2theomantz / DrivingDoge
A sentiment visualization app utilizing TensorFlow ML Library for sentiment analysis and D3 JS for visualization
Language:JavaScript 2kevinmacmat / measuring_community_school_satisfaction
Predicting Community School Satisfaction With NLP
Language:Jupyter Notebook 1- Language:Python 1
zoharsf / city-sentiment-analysis-using-twitter
This small project uses TextBlob to analyze twitter data from a user-provided city name
Language:Python 1ellislam / How-Headlines-Change-the-Way-We-Think
Evaluated the performance of classification and regression methods of predicting the market change.
Language:Jupyter Notebook 0haohe1113 / beer-rmcd-system
In this project, we scraped beer reviews from Beeradvocate.com and used them to build a beer recommendation system with various text mining concepts.
Language:Jupyter Notebook 0Mananp96 / Sentiment-Analysis-on-Game-Review
Sentiment Analysis on Game Review using TextBlob-lexicon and rule-based sentiment.
Language:Python 0Plachido / SentimentPerTopic
Sentiment per topic calculation for italian text
Language:R 0pylyf / OpenSentiment
OpenAI Finance News Sentiment Analysis
Language:Python 0rafaelgreca / BlessthefallSA
Analysing Blessthefall songs' lyrics with Sentiment Analysis
Language:Jupyter Notebook 0sagar-kale / conaug-app-machine-learning
machine learning sentiment analysis using apache opennlp
Language:Java 0Ivaylo-Georgiev / Sentiment-Analyzer
A repository for the Modern Java Technologies Course @ FMI
Language:Javamerelinguist / mindreader
Super simple sentiment analysis with AFINN.
Language:TypeScript- Language:HTML
ThomasErhel / ml5-sentiment
☯️ Interactive text sentiment analysis with score and result.
Language:JavaScript
