Systematic reviews in sentiment analysis: a tertiary study
A Ligthart, C Catal, B Tekinerdogan - Artificial intelligence review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
文本情感分析方法研究综述.
王婷， 杨文忠 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
文本情感分析是自然语言处理领域的一个重要分支, 广泛应用于舆情分析和内容推荐等方面,
是近年来的研究热点. 根据使用的不同方法, 将其划分为基于情感词典的情感分析方法 …
是近年来的研究热点. 根据使用的不同方法, 将其划分为基于情感词典的情感分析方法 …
Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis
Abstract Multimodal Emotion Recognition for Conversation (ERC) is a challenging multi-
class classification task that requires recognizing multiple speakers' emotions in text, audio …
class classification task that requires recognizing multiple speakers' emotions in text, audio …
AI based emotion detection for textual big data: Techniques and contribution
Online Social Media (OSM) like Facebook and Twitter has emerged as a powerful tool to
express via text people's opinions and feelings about the current surrounding events …
express via text people's opinions and feelings about the current surrounding events …
Influence of information attributes on information dissemination in public health emergencies
M Cai, H Luo, X Meng, Y Cui, W Wang - Humanities and Social …, 2022 - nature.com
When public health emergencies occur, relevant information containing different topics,
sentiments, and emotions spread rapidly on social media. From the cognitive and emotional …
sentiments, and emotions spread rapidly on social media. From the cognitive and emotional …
Spread of misinformation in social networks: Analysis based on Weibo tweets
H Luo, M Cai, Y Cui - Security and Communication Networks, 2021 - Wiley Online Library
Social networks are filled with a large amount of misinformation, which often misleads the
public to make wrong decisions, stimulates negative public emotions, and poses serious …
public to make wrong decisions, stimulates negative public emotions, and poses serious …
Analyzing COVID-19 on online social media: Trends, sentiments and emotions
At the time of writing, the ongoing pandemic of coronavirus disease (COVID-19) has caused
severe impacts on society, economy and people's daily lives. People constantly express …
severe impacts on society, economy and people's daily lives. People constantly express …
Emotion classification in a resource constrained language using transformer-based approach
Although research on emotion classification has significantly progressed in high-resource
languages, it is still infancy for resource-constrained languages like Bengali. However …
languages, it is still infancy for resource-constrained languages like Bengali. However …
ModalNet: an aspect-level sentiment classification model by exploring multimodal data with fusion discriminant attentional network
Aspect-level sentiment classification aims to identify sentiment polarity over each aspect of a
sentence. In the past, such analysis tasks mainly relied on text data. Nowadays, due to the …
sentence. In the past, such analysis tasks mainly relied on text data. Nowadays, due to the …