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)
Aspect-based Sentiment Analysis of Restaurants and Amazon Mobile Reviews.
Winning solutions of Bridgei2i InterIIT Tech Meet 2021
Aspect-based sentiment analysis for Vietnamese
Public opinion analysis on NYT's editors, using aspect-based and text classification
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.
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
IF4072 Natural Language & Text Processing
Analysing Brand Perception from Youtube Comments
This repository contains code for aspect-based sentiment analysis for the "restaurant" domain. Ref. paper:
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
Aspect-based sentiment analysis on Amazon reviews
Sentiment Analysis on Financial Dataset. Deep learning and NLP based techniques of Sentiment Analysis.
An aspect-based sentiment analysis project on African airline carriers
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