Sentiment Analysis of Solar Energy Using Bidirectional Encoder Representations from Transformers
Tugas akhir (final year project). This source code was used in the bachelor thesis “Public Sentiment Analysis of Mental Disorder based on Twitter Texts using Support Vector Machine”.
The parent repo for all the modules composing umigon
The information gathered and can be used for the upcoming projects of Sentiment analysis
ORRSentimentAnalysisBlog is an MVP sentiment analysis tool accompanying a blog on opinion mining. Users can classify text data into positive, negative, and neutral sentiments. The tool allows uploading text data via CSV files, manual addition and editing of inputs, and running sentiment classification. Results can be downloaded in CSV/JSON format
Multilingual sentiment analysis and intent classification in Romanian, Bachelors thesis
The SentiAspect-pt comprises 180 product reviews annotated according to implicit and explicit fine-grained opinions, which were hierarchically organized for aspect-based sentiment analysis and opinion summarization applications.
The Opinion Mining Tool is designed to help Small and Medium Enterprises(S.M.Es) gain valuable insights from their Product Customer Reviews. By analyzing review scores and providing actionable recommendations using OpenAI GPT model & BERT, this tool empowers S.M.Es to make data-driven decisions.
This tool helps businesses, understand customer sentiment surrounding their products and brand. Through insights extracted from reviews.
Aspect extraction based on word embeddings
Code for the paper "“Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups"
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.
Testbench for sentiment and factuality in texts.
AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/
Repository with all what is necessary for sentiment analysis and related areas
A curated list of NLP resources for Hungarian
Analysis of the evolution of advanced transformer-based language models: experiments on opinion mining
Domain Adaptation using External Knowledge for Sentiment Analysis
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