Conference paper Open Access
Character-based Neural Embeddings for Tweet Clustering
Nixon, Lyndon; Vakulenko, Svitlana; Lupu, Mihai
In this paper we show how the performance of tweet clustering can be improved by leveraging character-based neural networks. The proposed approach overcomes the limitations related to the vocabulary explosion in the word-based models and allows for the seamless processing of the multilingual content. Our evaluation results and code are available on-line.
Files
(188.2 kB)
| Name | Size | |
|---|---|---|
|
character-based-neural.pdf
md5:41bdd3ee3b54e195236d9845aaf083a2 |
188.2 kB | Download |
127
168
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 127 | 127 |
| Downloads | 168 | 168 |
| Data volume | 31.6 MB | 31.6 MB |
| Unique views | 127 | 127 |
| Unique downloads | 168 | 168 |
Indexed in
- Publication date:
- April 3, 2017
- DOI:
-
- Keyword(s):
- Story Detection, Tweet Clustering, Tweet2vec, Vector Space Model, Character-based Embedding
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International