Commit
•
4b9bf20
1
Parent(s):
e8a41c7
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,13 +12,11 @@ tags:
|
|
| 12 |
---
|
| 13 |
|
| 14 |
|
| 15 |
-
Here's the text with the information about being trained on long sequences of reviews added:
|
| 16 |
-
|
| 17 |
Leverage the power of **multilingual sentiment analysis** for in-depth customer insights!
|
| 18 |
This XLM-RoBERTa model, fine-tuned on a massive dataset of camping reviews averaging **250 tokens** each in multiple languages,
|
| 19 |
excels at understanding camper satisfaction across entire reviews. It can analyze reviews to identify positive and negative experiences.
|
| 20 |
This makes it ideal for camping grounds and tourism agencies looking to gain insights from customer reviews and improve their offerings.
|
| 21 |
|
| 22 |
-
* LABEL_0:
|
| 23 |
|
| 24 |
-
* LABEL_1:
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
|
|
|
|
|
|
|
| 15 |
Leverage the power of **multilingual sentiment analysis** for in-depth customer insights!
|
| 16 |
This XLM-RoBERTa model, fine-tuned on a massive dataset of camping reviews averaging **250 tokens** each in multiple languages,
|
| 17 |
excels at understanding camper satisfaction across entire reviews. It can analyze reviews to identify positive and negative experiences.
|
| 18 |
This makes it ideal for camping grounds and tourism agencies looking to gain insights from customer reviews and improve their offerings.
|
| 19 |
|
| 20 |
+
* LABEL_0: Negative
|
| 21 |
|
| 22 |
+
* LABEL_1: Positive
|