Aspect Based Sentiment Analysis

Several aspect extraction methods tried

Attention-based LSTM model with the Aspect information to solve financial opinion mining problem (WWW 2018 shared task1)

.NET Core library for accessing eStatements protected with South African identity numbers by brute force.

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Keras Implementation of Aspect based Sentiment Analysis

Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion target), this aspect-polarity extraction is known as ABSA.

Targeted Sentiment Analysis (TSA) on a fine grained dataset: NoReCfine.

Exploiting BERT to Improve Aspect-Based Sentiment Analysis Performance on Persian Language

In this work (Targeted) Aspect-Based Sentiment Analysis task is converted to a sentence-pair classification task and a pre-trained BERT model is fine-tuned on it.

[EMNLP 2020] Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis

Natural language processing with BERT for social computing: cross-corporal multi-task learning for aspect-based sentiment analysis

Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.

Interactive Attention based model is prepared to analyze the sentiments of a sentence. The dataset used is the ABSA dataset

A simple summary of fine-grained sentiment analysis

[ACL2021] Code for the paper "Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis" in Findings of ACL2021

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…