Semantic visualization for short texts with word embeddings
Semantic visualization integrates topic modeling and visualization, such that every document is associated with a topic distribution as well as visualization coordinates on a low-dimensional Euclidean space. We address the problem of semantic visualization for short texts. Such documents are increas...
Saved in:
Main Authors: | LE, Van Minh Tuan, LAUW, Hady W. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2017
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3766 https://ink.library.smu.edu.sg/context/sis_research/article/4768/viewcontent/ijcai17a.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Learning homophily couplings from non-iid data for joint feature selection and noise-resilient outlier detection
by: PANG, Guansong, et al.
Published: (2017) -
Embedding-based representation of categorical data by hierarchical value coupling learning
by: JIAN, Songlei, et al.
Published: (2017) -
FEATURE SELECTION : A PREPROCESSING STEP IN DATA MINING
by: MANORANJAN DASH
Published: (2020) -
EFSPredictor: Predicting configuration bugs with ensemble feature selection
by: XU, Bowen, et al.
Published: (2016) -
Ontology-based visual word matching for near-duplicate retrieval
by: JIANG, Yu-Gang, et al.
Published: (2008)