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Aspect-Based Unsupervised Negative Sentiment Analysis

2021
Twitter is a social media platform where users post their opinions on various events, products, services and celebrities. Automated analysis of these public posts is useful for tapping into public opinion and sentiment. Identifying negative public sentiment assumes importance when national security issues are at stake or when critical analysis of a ...
Mainak Ghosh, Kirtika Gupta, Seba Susan
openaire   +1 more source

Aspect-Based Attention LSTM for Aspect-Level Sentiment Analysis

2021 3rd World Symposium on Artificial Intelligence (WSAI), 2021
With the rapid development of the mobile Internet, how to efficiently extract information from the massive data in cyberspace and use it has become a key concern of all walks of life. Sentiment analysis aims to dig out the subjective emotional information contained in large-scale texts.
Jingang Ma   +5 more
openaire   +1 more source

Ontology-Enhanced Aspect-Based Sentiment Analysis

2017
With many people freely expressing their opinions and feelings on the Web, much research has gone into modeling and monetizing opinionated, and usually unstructured and textual, Web-based content. Aspect-based sentiment analysis aims to extract the fine-grained topics, or aspects, that people are talking about, together with the sentiment expressed on ...
Schouten, Kim   +2 more
openaire   +2 more sources

Hybrid sentiment classification on twitter aspect-based sentiment analysis

Applied Intelligence, 2017
Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have become major social media attractions today. The huge amount of information from this medium has become an attractive resource for organisations to monitor the opinions of users, and therefore, it is receiving a lot of attention in the field of sentiment analysis.
Zainuddin, Nurulhuda   +2 more
openaire   +2 more sources

Improving aspect-based sentiment analysis via aligning aspect embedding

Neurocomputing, 2020
Abstract Aspect-Based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task, which aims to predict sentiment polarities of given aspects or target terms in text. ABSA contains two subtasks: Aspect-Category Sentiment Analysis (ACSA) and Aspect-Term Sentiment Analysis (ATSA).
Xingwei Tan   +5 more
openaire   +1 more source

Cross-Domain Aspect Based Sentiment Analysis

International Journal for Research in Applied Science and Engineering Technology
Abstract: Sentiment analysis, a crucial aspect of natural language processing, faces significant challenges in diverse domains. This research focuses on cross-domain aspect-based sentiment analysis, aiming to enhance accuracy across various fields. We propose a novel framework tailored for this purpose, addressing existing limitations.
openaire   +1 more source

Aspect based Sentiment Analysis for Urdu

2021 6th International Conference on Computational Intelligence and Applications (ICCIA), 2021
Naveed Ahmad, Jing Wan
openaire   +1 more source

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel   +2 more
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel   +2 more
exaly  

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

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