Knowledge-oriented Hierarchical Neural Network for sentiment classification
Sentiment classification aims to classify the sentimental polarities of given texts. Lexicon-based approaches utilize lexical resources to explore the opinions according to some specific rules, whose effectiveness strongly depends on the goodness of the lexical resources and the rules. Traditional m...
Saved in:
Main Authors: | Wang, Yanliu, Li, Pengfei |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/142598 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Generating synthetic trajectory data using GRU
by: Liu, Xinyao, et al.
Published: (2022) -
Synergistic 2D/3D Convolutional Neural Network for hyperspectral image classification
by: Yang, Xiaofei, et al.
Published: (2021) -
Image-similarity-based convolutional neural network for robot visual relocalization
by: Wang, Li, et al.
Published: (2021) -
An energy-efficient convolution unit for depthwise separable convolutional neural networks
by: Chong, Yi Sheng, et al.
Published: (2021) -
Noisy facial recognition with convolutional neural network (CNN)
by: Heng, Yin Qi
Published: (2024)