A survey on aspect-based sentiment classification
G Brauwers, F Frasincar - ACM Computing Surveys, 2022 - dl.acm.org
With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier
With the rapid development of the World Wide Web, electronic word-of-mouth interaction has
made consumers active participants. Nowadays, a large number of reviews posted by the …
made consumers active participants. Nowadays, a large number of reviews posted by the …
Grid tagging scheme for aspect-oriented fine-grained opinion extraction
Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims at extracting aspect terms and
opinion terms from review in the form of opinion pairs or additionally extracting sentiment …
opinion terms from review in the form of opinion pairs or additionally extracting sentiment …
Double embeddings and CNN-based sequence labeling for aspect extraction
One key task of fine-grained sentiment analysis of product reviews is to extract product
aspects or features that users have expressed opinions on. This paper focuses on …
aspects or features that users have expressed opinions on. This paper focuses on …
[LIBRO][B] Machine learning for text: An introduction
CC Aggarwal, CC Aggarwal - 2018 - Springer
The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …
referred to as text mining, text analytics, or machine learning from text. The choice of …
An unsupervised neural attention model for aspect extraction
Aspect extraction is an important and challenging task in aspect-based sentiment analysis.
Existing works tend to apply variants of topic models on this task. While fairly successful …
Existing works tend to apply variants of topic models on this task. While fairly successful …
A survey on classification techniques for opinion mining and sentiment analysis
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
Survey on aspect-level sentiment analysis
The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated
from text, has seen a lot of attention in the last few years. The corresponding growth of the …
from text, has seen a lot of attention in the last few years. The corresponding growth of the …
Target-oriented opinion words extraction with target-fused neural sequence labeling
Opinion target extraction and opinion words extraction are two fundamental subtasks in
Aspect Based Sentiment Analysis (ABSA). Recently, many methods have made progress on …
Aspect Based Sentiment Analysis (ABSA). Recently, many methods have made progress on …
Recursive neural conditional random fields for aspect-based sentiment analysis
In aspect-based sentiment analysis, extracting aspect terms along with the opinions being
expressed from user-generated content is one of the most important subtasks. Previous …
expressed from user-generated content is one of the most important subtasks. Previous …