Emotion AI-driven sentiment analysis: A survey, future research directions, and open issues
The essential use of natural language processing is to analyze the sentiment of the author
via the context. This sentiment analysis (SA) is said to determine the exactness of the …
via the context. This sentiment analysis (SA) is said to determine the exactness of the …
Adaptive co-attention network for named entity recognition in tweets
In this study, we investigate the problem of named entity recognition for tweets. Named entity
recognition is an important task in natural language processing and has been carefully …
recognition is an important task in natural language processing and has been carefully …
Improving multimodal named entity recognition via entity span detection with unified multimodal transformer
In this paper, we study Multimodal Named Entity Recognition (MNER) for social media posts.
Existing approaches for MNER mainly suffer from two drawbacks:(1) despite generating …
Existing approaches for MNER mainly suffer from two drawbacks:(1) despite generating …
A General framework for studying the evolution of the digital innovation ecosystem: The case of big data
BK Chae - International Journal of Information Management, 2019 - Elsevier
This paper presents a general framework for studying the digital innovation ecosystem. The
notion of complex networks offers a conceptual lens to analyze the emergence and …
notion of complex networks offers a conceptual lens to analyze the emergence and …
Object-aware multimodal named entity recognition in social media posts with adversarial learning
Named Entity Recognition (NER) in social media posts is challenging since texts are usually
short and contexts are lacking. Most recent works show that visual information can boost the …
short and contexts are lacking. Most recent works show that visual information can boost the …
[图书][B] Text mining with machine learning: principles and techniques
This book provides a perspective on the application of machine learning-based methods in
knowledge discovery from natural languages texts. By analysing various data sets …
knowledge discovery from natural languages texts. By analysing various data sets …
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning
Abstract Multimodal Entity-Based Sentiment Analysis (MEBSA) is an emerging task within
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
Twitter big data as a resource for exoskeleton research: a large-scale dataset of about 140,000 tweets from 2017–2022 and 100 research questions
N Thakur - Analytics, 2022 - mdpi.com
The exoskeleton technology has been rapidly advancing in the recent past due to its
multitude of applications and diverse use cases in assisted living, military, healthcare …
multitude of applications and diverse use cases in assisted living, military, healthcare …
E-NER--An Annotated Named Entity Recognition Corpus of Legal Text
Identifying named entities such as a person, location or organization, in documents can
highlight key information to readers. Training Named Entity Recognition (NER) models …
highlight key information to readers. Training Named Entity Recognition (NER) models …
Flat multi-modal interaction transformer for named entity recognition
Multi-modal named entity recognition (MNER) aims at identifying entity spans and
recognizing their categories in social media posts with the aid of images. However, in …
recognizing their categories in social media posts with the aid of images. However, in …