Results 41 to 50 of about 448,200 (183)
Aspect Term Extraction for Aspect Based Opinion Mining
Opinion Mining (OM) is also called as Sentiment Analysis (SA). Aspect Based Opinion Mining (ABOM) is also called as Aspect Based Sentiment Analysis (ABSA). In this paper, three new features are proposed to extract the aspect term for Aspect Based Sentiment Analysis (ABSA).
Mr. M. Yesu Babu +2 more
openaire +1 more source
Aspect-based sentiment analysis (ABSA) aims to identify views and sentiment polarities towards a given aspect in reviews. Compared with general sentiment analysis, ABSA can provide more detailed and complete information.
Narisa Zhao, Huan Gao, Xin Wen, Hui Li
doaj +1 more source
A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas [PDF]
Due to the massive progression of the Web, people post their reviews for any product, movies and places they visit on social media. The reviews available on social media are helpful to customers as well as the product owners to evaluate their products ...
Bhavana R. Bhamare, Jeyanthi Prabhu
doaj +2 more sources
Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language processing (NLP) that aims to extract triplets from comments. Each triplet comprises an aspect term, an opinion term, and the sentiment polarity of the aspect term.
Yanbo Li, Qing He, Damin Zhang
doaj +1 more source
Users of e‐commerce websites review different aspects of a product in the comment section. In this research, an approach is proposed for opinion aspect extraction and recognition in selling systems.
Kamal Sharbatian +1 more
doaj +1 more source
Unsupervised Aspect Term Extraction for Sentiment Analysis through Automatic Labeling
: In sentiment analysis, there has been growing interest in performing finer granularity analysis focusing on entities and their aspects. This is the goal of Aspect-based Sentiment Analysis which commonly involves the following tasks: Opinion Target ...
Danny Suarez Vargas +2 more
semanticscholar +1 more source
Unsupervised Neural Aspect Search with Related Terms Extraction
The tasks of aspect identification and term extraction remain challenging in natural language processing. While supervised methods achieve high scores, it is hard to use them in real-world applications due to the lack of labelled datasets. Unsupervised approaches outperform these methods on several tasks, but it is still a challenge to extract both an ...
Sokhin, Timur +2 more
openaire +2 more sources
Extracting Aspect Terms using CRF and Bi-LSTM Models
Abstract Sentiment Analysis deals with analysing the reviews stated by its consumers for any product. If such analysis is performed at a deeper level, it enables us to identify the consumer’s sentiment towards each feature of the product. The sentiment expressed may not be same towards each feature.
Hetal Gandhi, Vahida Attar
openaire +1 more source
Enhancing Arabic Aspect-Based Sentiment Analysis Using End-to-End Model
The majority of research on the Aspect-Based Sentiment Analysis (ABSA) tends to split this task into two subtasks: one for extracting aspects, Aspect Term Extraction (ATE), and another for identifying sentiments toward particular aspects, Aspect ...
Ghada M. Shafiq +3 more
doaj +1 more source
Deep Learning-Based Aspect Term Extraction for Sentiment Analysis in Hindi
Objectives: Aspect terms play a vital role in finalizing the sentiment of a given review. This experimental study aims to improve the aspect term extraction mechanism for Hindi language reviews.
Ashwani Gupta, Utpal Sharma
semanticscholar +1 more source

