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A survey of textual emotion recognition and its challenges
Textual language is the most natural carrier of human emotion. In natural language
processing, textual emotion recognition (TER) has become an important topic due to its …
processing, textual emotion recognition (TER) has become an important topic due to its …
A review on human-computer interaction and intelligent robots
In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …
related intelligent robot technologies are essential and interesting contents of research …
Maize-YOLO: a new high-precision and real-time method for maize pest detection
Simple Summary Maize is one of the world's most important crops, and pests can seriously
damage its yield and quality. Detection of maize pests is vital to ensuring the excellent …
damage its yield and quality. Detection of maize pests is vital to ensuring the excellent …
Feature reuse residual networks for insect pest recognition
Insect pests are one of the main threats to the commercially important crops. An effective
insect pest recognition method can avoid economic losses. In this paper, we proposed a …
insect pest recognition method can avoid economic losses. In this paper, we proposed a …
Cgmvqa: A new classification and generative model for medical visual question answering
Medical images are playing an important role in the medical domain. A mature medical
visual question answering system can aid diagnosis, but there is no satisfactory method to …
visual question answering system can aid diagnosis, but there is no satisfactory method to …
DFF-ResNet: An insect pest recognition model based on residual networks
Insect pest control is considered as a significant factor in the yield of commercial crops.
Thus, to avoid economic losses, we need a valid method for insect pest recognition. In this …
Thus, to avoid economic losses, we need a valid method for insect pest recognition. In this …
[HTML][HTML] A new text classification model based on contrastive word embedding for detecting cybersecurity intelligence in twitter
Detecting cybersecurity intelligence (CSI) on social media such as Twitter is crucial because
it allows security experts to respond cyber threats in advance. In this paper, we devise a new …
it allows security experts to respond cyber threats in advance. In this paper, we devise a new …
Sentiment-aware word embedding for emotion classification
X Mao, S Chang, J Shi, F Li, R Shi - Applied Sciences, 2019 - mdpi.com
Word embeddings are effective intermediate representations for capturing semantic
regularities between words in natural language processing (NLP) tasks. We propose …
regularities between words in natural language processing (NLP) tasks. We propose …
Prompt consistency for multi-label textual emotion detection
Textual emotion detection is playing an important role in the human-computer interaction
domain. The mainstream methods of textual emotion detection are extracting semantic …
domain. The mainstream methods of textual emotion detection are extracting semantic …
[HTML][HTML] The influence of feature representation of text on the performance of document classification
In this paper we perform a comparative analysis of three models for a feature representation
of text documents in the context of document classification. In particular, we consider the …
of text documents in the context of document classification. In particular, we consider the …