There are 0 repository under sentiment-scores topic.
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
Accurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉
Download reddit posts based on keywords and perform sentiment analysis on the posts.
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.
Encyclopedic Hub for Sentiment Dictionaries
A rating-based sentiment dataset of IMDB movie reviews (WASSA 2014)
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.
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.
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.
Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
Russian Lexicons for Text Analysis
Sentiment analysis, text mining, topic modeling & sentiment prediction
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
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.
BSc thesis code
A simple sentiment detector open-source module for node.js
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
The R code of implementation is provided.
A sentiment visualization app utilizing TensorFlow ML Library for sentiment analysis and D3 JS for visualization
Predicting Community School Satisfaction With NLP
This small project uses TextBlob to analyze twitter data from a user-provided city name
Evaluated the performance of classification and regression methods of predicting the market change.
In this project, we scraped beer reviews from Beeradvocate.com and used them to build a beer recommendation system with various text mining concepts.
Sentiment Analysis on Game Review using TextBlob-lexicon and rule-based sentiment.
Sentiment per topic calculation for italian text
OpenAI Finance News Sentiment Analysis
Analysing Blessthefall songs' lyrics with Sentiment Analysis
machine learning sentiment analysis using apache opennlp
A repository for the Modern Java Technologies Course @ FMI
Super simple sentiment analysis with AFINN.
☯️ Interactive text sentiment analysis with score and result.