To predict future stock prices by influence of Opinion mining using Deep Learning techniques

Analyze sentiment and mine opinions é uma solução da plataforma Language Studio, da Azure, que permite detectar sentimentos positivos, negativos e neutros a partir de sentenças. Esse repositório mostra alguns exemplos de testes na plataforma. Os procedimentos foram realizados como parte do Bootcamp Microsoft Azure AI Fundamentals, da DIO.

Public opinion analysis on NYT's editors, using aspect-based and text classification

Opinion Mining - Hybrid Approach

Sentimental Analysis using Machine learning models in R.

Copenhacks 2018 code for Crowdinator. Crowdinator is a sentiment analysis tool that detects the emotion of a crowd using face analysis from a given stream of images and generates a visual report.

Script di Opinion Mining realizzati per la Tesi di Laurea in Informatica e Tecnologie per la Produzione del Software: "Estensione di un Recommender System Conversazionale Mediante Tecniche di Opinion Mining".

딥러닝 기반 환경이슈 감성분류기 개발 : 기후변화 중심으로

Sistemi Intelligenti per Internet - Università Degli Studi Roma 3

[NLP] Analysis of reviews from mobile apps related to air quality

Fetching Tweets for Opinion Mining purposes

Extracting Aspect Specific Opinion Expression (EMNLP 2016)

Opining Mining on Twitter Tweets using Python

Topic: Opinion Mining and Summarization of Hotel Reviews

The parent repo for all the modules composing umigon

Tesis MCI

ML Pipeline for sentiment analysis on Twitter.

Target-aspect-sentiment joint detection for SE-ABSA15 competition.

The project uses Twitter sentiment analysis to predict TV viewership. It collects tweets about a TV show, performs sentiment analysis, and utilizes machine learning models like Random Forest and Linear Regression to predict viewership. This approach could provide valuable insights for TV networks and advertisers.