Update README.md
Browse files
README.md
CHANGED
@@ -1,5 +1,11 @@
|
|
1 |
---
|
2 |
license: mit
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
4 |
# RoBERTa based Spam Message Detection
|
5 |
Spam messages frequently carry malicious links or phishing attempts posing significant threats to both organizations and their users. By choosing our RoBERTa-based spam message detection system, organizations can greatly enhance their security infrastructure. Our system effectively detects and filters out spam messages, adding an extra layer of security that safeguards organizations against potential financial losses, legal consequences, and reputational harm.
|
@@ -31,5 +37,4 @@ paper: https://arxiv.org/abs/1907.11692
|
|
31 |
|
32 |
## Code
|
33 |
|
34 |
-
https://github.com/mshenoda/roberta-spam
|
35 |
-
|
|
|
1 |
---
|
2 |
license: mit
|
3 |
+
datasets:
|
4 |
+
- mshenoda/spam-messages
|
5 |
+
pipeline_tag: text-classification
|
6 |
+
widget:
|
7 |
+
- text: "U have a secret admirer. REVEAL who thinks U R So special. Call 09065174042. To opt out Reply REVEAL STOP. 1.50 per msg recd."
|
8 |
+
example_title: "spam"
|
9 |
---
|
10 |
# RoBERTa based Spam Message Detection
|
11 |
Spam messages frequently carry malicious links or phishing attempts posing significant threats to both organizations and their users. By choosing our RoBERTa-based spam message detection system, organizations can greatly enhance their security infrastructure. Our system effectively detects and filters out spam messages, adding an extra layer of security that safeguards organizations against potential financial losses, legal consequences, and reputational harm.
|
|
|
37 |
|
38 |
## Code
|
39 |
|
40 |
+
https://github.com/mshenoda/roberta-spam
|
|