A systematic review on implicit and explicit aspect extraction in sentiment analysis
Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in
natural language processing (NLP). Individuals, private and government institutions are …
natural language processing (NLP). Individuals, private and government institutions are …
A hyper learning binary dragonfly algorithm for feature selection: A COVID-19 case study
The rapid expansion of information science has caused the issue of “the curse of
dimensionality”, which will negatively affect the performance of the machine learning model …
dimensionality”, which will negatively affect the performance of the machine learning model …
[PDF][PDF] Aspect-Based Sentiment Analysis using Machine Learning and Deep Learning Approaches
Sentiment analysis (SA) is also known as opinion mining, it is the process of gathering and
analyzing people's opinions about a particular service, good, or company on websites like …
analyzing people's opinions about a particular service, good, or company on websites like …
A survey on implicit aspect detection for sentiment analysis: terminology, issues, and scope
Sentiment analysis or opinion mining has come forth as an attractive research field in the
past few years. Sentiment analysis extracts sentiments from the text for analysis and …
past few years. Sentiment analysis extracts sentiments from the text for analysis and …
Multi-level knowledge-based approach for implicit aspect identification
Sentiment analysis or opinion mining is the area of research in Natural Language
Processing (NLP) and text mining which deals with the systematic identification of subjective …
Processing (NLP) and text mining which deals with the systematic identification of subjective …
An adaptive whale optimization algorithm using Gaussian distribution strategies and its application in heterogeneous UCAVs task allocation
Y Li, T Han, H Zhao, H Gao - IEEE Access, 2019 - ieeexplore.ieee.org
To overcome the defect of whale optimization algorithm (WOA) being easily fallen into local
optimum caused by the ill-distribution of solutions, this paper explores an adaptive WOA …
optimum caused by the ill-distribution of solutions, this paper explores an adaptive WOA …
[PDF][PDF] Aspect-Based Sentiment Analysis for Sentence Types with Implicit Aspect and Explicit Opinion in Restaurant Review Using Grammatical Rules, Hybrid …
Sentiment analysis can provide rough recommendations in the form of sentiment from a
collection of reviews or can provide recommendations in more detail about sentiment in a …
collection of reviews or can provide recommendations in more detail about sentiment in a …
A hybrid co-occurrence and ranking-based approach for detection of implicit aspects in aspect-based sentiment analysis
People are increasingly using Web sites and Web services to express their opinions since
the inception of Internet. Sentiment analysis is an active research domain that aims at the …
the inception of Internet. Sentiment analysis is an active research domain that aims at the …
Deep learning, wordnet, and spacy based hybrid method for detection of implicit aspects for sentiment analysis
In the past decade, sentiment analysis/opinion mining has become a very enticing research
domain. Sentiment analysis is the task of identification, extraction, and aggregation of …
domain. Sentiment analysis is the task of identification, extraction, and aggregation of …
[PDF][PDF] Multi-Level Knowledge Engineering Approach for Map** Implicit Aspects to Explicit Aspects.
Aspect's extraction is a critical task in aspect-based sentiment analysis, including explicit
and implicit aspects identification. While extensive research has identified explicit aspects …
and implicit aspects identification. While extensive research has identified explicit aspects …