Issues and challenges of aspect-based sentiment analysis: A comprehensive survey
The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …
sentiments are analysed and sentiments are evolved over time, is getting much attention …
Sentiment analysis using deep learning approaches: an overview
Nowadays, with the increasing number of Web 2.0 tools, users generate huge amounts of
data in an enormous and dynamic way. In this regard, the sentiment analysis appeared to be …
data in an enormous and dynamic way. In this regard, the sentiment analysis appeared to be …
Bond: Bert-assisted open-domain named entity recognition with distant supervision
We study the open-domain named entity recognition (NER) problem under distant
supervision. The distant supervision, though does not require large amounts of manual …
supervision. The distant supervision, though does not require large amounts of manual …
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis
M Venugopalan, D Gupta - Knowledge-based systems, 2022 - Elsevier
Aspect level sentiment analysis is a fine-grained task in sentiment analysis. It extracts
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
Learning named entity tagger using domain-specific dictionary
Recent advances in deep neural models allow us to build reliable named entity recognition
(NER) systems without handcrafting features. However, such methods require large …
(NER) systems without handcrafting features. However, such methods require large …
Optimizing bi-encoder for named entity recognition via contrastive learning
We present a bi-encoder framework for named entity recognition (NER), which applies
contrastive learning to map candidate text spans and entity types into the same vector …
contrastive learning to map candidate text spans and entity types into the same vector …
Sentiment analysis: Comprehensive reviews, recent advances, and open challenges
Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with
computers. Previous studies have achieved significant breakthroughs and extensive …
computers. Previous studies have achieved significant breakthroughs and extensive …
Named entity recognition with small strongly labeled and large weakly labeled data
Weak supervision has shown promising results in many natural language processing tasks,
such as Named Entity Recognition (NER). Existing work mainly focuses on learning deep …
such as Named Entity Recognition (NER). Existing work mainly focuses on learning deep …
Improving aspect term extraction with bidirectional dependency tree representation
Aspect term extraction is one of the important subtasks in aspect-based sentiment analysis.
Previous studies have shown that using dependency tree structure representation is …
Previous studies have shown that using dependency tree structure representation is …
Distantly supervised named entity recognition via confidence-based multi-class positive and unlabeled learning
In this paper, we study the named entity recognition (NER) problem under distant
supervision. Due to the incompleteness of the external dictionaries and/or knowledge bases …
supervision. Due to the incompleteness of the external dictionaries and/or knowledge bases …