Deep learning techniques for text classification
This dissertation presents a series of experiments in applying deep learning techniques for text classification. The experiment will evaluate the performance of some popular deep learning models, such as feedforward, recurrent, convolutional, and ensemble-based neural networks, on five different dat...
Saved in:
Main Author: | Raihan, Diardano |
---|---|
Other Authors: | Ponnuthurai Nagaratnam Suganthan |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/150087 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Training deep network models for accurate recognition of texts in scene images
by: Chen, Pengfei
Published: (2021) -
TFIDF meets deep document representation : a re-visit of co-training for text classification
by: Chen, Zhiwei
Published: (2020) -
Deep learning techniques for hate speech detection
by: Sam, Jared Mun Kit
Published: (2023) -
Improving spam detection on Twitter using deep learning
by: Ng, Yi Rong
Published: (2021) -
Deep learning-based automatic document categorization and organization
by: Foo, Shawn Nicholas Say Yan
Published: (2021)