Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
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Updated
Jul 15, 2024 - HTML
Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
Project for the University Master Degree Course of Information Retrieval
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Fine-grained opinion identification and polarity classification of Covid-19 tweets in Portuguese.
End-to-end Multi-task Solutions for Aspect Category Sentiment Analysis (ACSA) on Vietnamese Datasets
Instructional learning for Aspect Based Sentiment Analysis
This repository implements the backend services for a powerful sentiment analysis application. It leverages vector database to extract deeper insights from user reviews. Frontend: user-review-classification.vercel.app
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
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.
An automatic opinion implicit and explicit aspect identification and clustering tool for aspect-based opinion mining / sentiment analysis applications. Opcluster-PT also allows the customization for other languages, being minimally necessary a lexical language resource as such as WordNet, deverbal, foreign, diminutive and enhancing Lexicon. OpCl…
A paper list for aspect based sentiment analysis.
Hybrid Skincare Product Recommendation System
The main objective of sentiment analysis is the use of natural language processing (NLP) techniques to gain insights from the sentiments of customer reviews, in this case from the fine food products listed on Amazon.
Masking The Bias : From Echo Chambers to Large Scale Aspect-Based Sentiment Analysis
Has a list of all the publicly available datasets for Aspect-based Sentiment Analysis along with the matching subtasks for each.
This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
Multilabel Aspect Prediction using Graph Convolutional Networks
Aspect Based Sentiment Analysis utilized Dependancy Parsing and prebuilt Sentiment Intensity Analyzer model from nltk to predict sentiment for different reviews. This helps in identfying what part of the review is positive and what part is negative. The data used is a Car Reviews Dataset.
A paper list for aspect based sentiment analysis.
Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合
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