[HTML][HTML] Few-shot learning for medical text: A review of advances, trends, and opportunities
Background: Few-shot learning (FSL) is a class of machine learning methods that require
small numbers of labeled instances for training. With many medical topics having limited …
small numbers of labeled instances for training. With many medical topics having limited …
Digital emotion contagion
A Goldenberg, JJ Gross - Trends in cognitive sciences, 2020 - cell.com
People spend considerable time on digital media, and are thus often exposed to
expressions of emotion by other people. This exposure can lead their own emotion …
expressions of emotion by other people. This exposure can lead their own emotion …
A survey on text classification: From traditional to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
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 …
The validity of sentiment analysis: Comparing manual annotation, crowd-coding, dictionary approaches, and machine learning algorithms
W Van Atteveldt, MACG Van der Velden… - Communication …, 2021 - Taylor & Francis
Sentiment is central to many studies of communication science, from negativity and
polarization in political communication to analyzing product reviews and social media …
polarization in political communication to analyzing product reviews and social media …
Social media content strategy for sport clubs to drive fan engagement
Social media brand pages act as excellent means for engaging consumers. While most
sport clubs use social media such as Facebook to enhance fan engagement, extant …
sport clubs use social media such as Facebook to enhance fan engagement, extant …
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment
analysis and related tasks, researchers have therefore used binarized emoticons and …
analysis and related tasks, researchers have therefore used binarized emoticons and …
A survey on text classification: From shallow to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
Deep convolution neural networks for twitter sentiment analysis
Z Jianqiang, G Xiaolin, Z Xuejun - IEEE access, 2018 - ieeexplore.ieee.org
Twitter sentiment analysis technology provides the methods to survey public emotion about
the events or products related to them. Most of the current researches are focusing on …
the events or products related to them. Most of the current researches are focusing on …
The evolution of sentiment analysis—A review of research topics, venues, and top cited papers
Sentiment analysis is one of the fastest growing research areas in computer science, making
it challenging to keep track of all the activities in the area. We present a computer-assisted …
it challenging to keep track of all the activities in the area. We present a computer-assisted …