code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
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Updated
Apr 27, 2020 - Python
code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
Code and dataset for "Text Generation for Opinion Triplet Extraction"., 2021
AIKU 2023-Summer Project: Aspect Based Sentimental Analysis (ABSA)
A collaborative research on Vietnamese Aspect-based Sentiment Analysis
Aspect-based Sentiment Analysis of Restaurants and Amazon Mobile Reviews.
This holds the code related to my Master's thesis related to LDA topic modeling and Aspect based sentiment analysis
Winning solutions of Bridgei2i InterIIT Tech Meet 2021
Sentiment-Aware Deep Contextual Word Embeddings-Based Semi-Automatic Ontology Building for Aspect-Based Sentiment Classification
Multi-task Aspect Category Sentiment Analysis for Vietnamese reviews
An aspect-based sentiment analysis on dating apps reviews
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension
Fine-grained opinion identification and polarity classification of Covid-19 tweets in Portuguese.
Hybrid Skincare Product Recommendation System
Aspect Term Extraction & Sentiment Classification
This repository contains the code and resources for sentiment analysis and aspect-based sentiment analysis of TripAdvisor hotel reviews in Marrakesh.
A pytorch implemention of GCAE for aspect based sentiment analysis.
Part of the assignment from the Neural Network and NLP module
The study employed the Fast-LCF-ATEPC model for Alibaba (intl') reviews, achieving 91.06% APC accuracy and 83.09% ATE F1 score. It revealed mixed user experiences in areas like usability, pricing, and shipping, aiming to enhance Alibaba's e-commerce user satisfaction.
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 Unified Model for Opinion Target Extraction and Target Sentiment Prediction (AAAI 2019)
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