Results 71 to 80 of about 446,831 (348)

Datasets for Aspect-Based Sentiment Analysis in Bangla and Its Baseline Evaluation

, 2018
With the extensive growth of user interactions through prominent advances of the Web, sentiment analysis has obtained more focus from an academic and a commercial point of view.
Dey, Emon Kumar, Md. Atikur Rahman, Emon Kumar Dey, Md. Atikur Rahman, Rahman, Md Atikur, Md. Rahman   +5 more
core   +1 more source

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations

Proceedings of the AAAI Conference on Artificial Intelligence
Aspect-based sentiment analysis (ABSA), a fine-grained sentiment classification task, has received much attention recently. Many works investigate sentiment information through opinion words, such as "good'' and "bad''. However, implicit sentiment data widely exists in the ABSA dataset, whose sentiment polarity is hard to determine due to the lack of ...
Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang 0018, Yimeng Wang, Ximing Li 0002   +5 more
openaire   +2 more sources

SemEval-2015 Task 12: Aspect Based Sentiment Analysis

International Workshop on Semantic Evaluation, 2015
SemEval-2015 Task 12, a continuation of SemEval-2014 Task 4, aimed to foster research beyond sentenceor text-level sentiment classification towards Aspect Based Sentiment Analysis. The goal is to identify opinions expressed about specific entities (e.g.,
Maria Pontiki, D. Galanis, Haris Papageorgiou, S. Manandhar, Ion Androutsopoulos   +4 more
semanticscholar   +1 more source

Various Approaches to Aspect-based Sentiment Analysis

CoRR, 2018
The problem of aspect-based sentiment analysis deals with classifying sentiments (negative, neutral, positive) for a given aspect in a sentence. A traditional sentiment classification task involves treating the entire sentence as a text document and classifying sentiments based on all the words.
Amlaan Bhoi, Sandeep Joshi
openaire   +2 more sources

Aspect-Based Sentiment Analysis: A Comprehensive Review and Open Research Challenges

IEEE Access
The social web provides a facility for common people to share their views, comments, feedback, and experiences on various social media platforms. Due to these platforms now communication has become easier and it has provided us with opportunities to use ...
Waqas Ahmad, Hikmat Ullah Khan, F. Alarfaj, M. Alreshoodi   +3 more
semanticscholar   +1 more source

A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling [PDF]

With the rising volume of public and consumer engagement on social media platforms, the field of aspect-based sentiment analysis (ABSA) has garnered substantial attention.
Xieling Chen, Chen, Xieling, Fu Lee Wang, Zhang, Dian, Tao, Xiaohui, Dai, Hong-Ning, Xiaohui Tao, Dian Zhang, Hong-Ning Dai, Xie, Haoran, Haoran Xie, Wang, Fu Lee   +11 more
core   +1 more source

[課題研究報告書] A Survey on Deep Learning Models for Aspect-based Sentiment Analysis [PDF]

, 2020
Supervisor: HUYNH, Nam-Van先端科学技術研究科修士 ...
余, 洋
core  

Aspect-Based Sentiment Analysis Based on Aspect-Part-Of-Speech Perception [PDF]

Jisuanji gongcheng
Aspect-Based Sentiment Analysis(ABSA) is a research focal point in natural language processing, whose task is to predict the emotional polarity of a given aspect in a sentence. Currently, most studies have overlooked the role of aspect words and specific
Weihuan XIA, Liefa LIAO, Shouxin ZHANG, Yanqin ZHANG
doaj   +1 more source

Domain-Specific Fine-Tuning of IndoBERT for Aspect-Based Sentiment Analysis in Indonesian Travel User-Generated Content

Journal of Information Systems Engineering and Business Intelligence
Background: Aspect-based sentiment analysis (ABSA) is essential in extracting meaningful insights from user-generated content (UGC) in various domains. In tourism, UGC such as Google Reviews offers essential feedback, but the challenges associated with ...
Rifki Perwira, Vynska Amalia Permadi, D. Purnamasari, Riza Prapascatama Agusdin   +3 more
semanticscholar   +1 more source

The skills required for transition to university and study in biological sciences: A student perspective

FEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source