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This is the advanced form of the sentiment analysis from text. In this method we have to find out the sentiment regarding the aspect word. The data set contains the reviews and the aspect word/phrase. We have to find out the sentiment regarding that aspect/phrase. We have used simple method using TfIdfVectorizer and ml algorithms. Got the nearly…
[ACL2021] Code for the paper "Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis" in Findings of ACL2021
Aspect-Based Sentiment Analysis (ABSA) can identify specifics to what guests are most unsatisfied with for a given hotel. "Room Amenities" are broken down into "air-conditioning" or "wifi", giving targeted improvement feedback.
Python Sentiment Analysis on Amazon Reviews with NLP, Machine Learning prediction models and ABSA. Basic Network Analysis and some experiments with Collaborative Filtering.
A comparative study of various methods for aspect-based sentiment analysis in the German language. Analysing generative models with large language models, relational graph attention networks and aspect-specific graph convolutional networks.
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.
Determine the sentiment of a community towards companies and their effect on the company in the stock market by analyzing their online presence on various social media platforms.