Text Classification
Transformers
Safetensors
English
albert
dejanseo commited on
Commit
2355370
·
verified ·
1 Parent(s): 6bb1c5d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +58 -38
README.md CHANGED
@@ -1,45 +1,65 @@
1
  ---
2
  license: bigscience-openrail-m
3
  pipeline_tag: text-classification
4
-
5
  widget:
6
- - example_title: "Very Positive"
7
- text: "This product is absolutely amazing!"
8
- - example_title: "Positive"
9
- text: "I like the features of this app."
10
- - example_title: "Somewhat Positive"
11
- text: "The service is pretty good."
12
- - example_title: "Neutral"
13
- text: "It meets my expectations."
14
- - example_title: "Somewhat Negative"
15
- text: "The experience was not as bad."
16
- - example_title: "Negative"
17
- text: "I'm disappointed with the quality."
18
- - example_title: "Very Negative"
19
- text: "This is the worst purchase I've ever made."
20
-
21
- - example_title: "Very Positive"
22
- text: "I recently bought a new sports jersey from this store, and it's absolutely amazing! The fabric is high quality, the fit is perfect, and the design looks even better in person. I'm thrilled with my purchase and highly recommend this store to anyone looking for custom sports apparel."
23
-
24
- - example_title: "Positive"
25
- text: "I tried out the new fitness app, and I like its features. It has a user-friendly interface, plenty of workout plans, and tracks my progress effectively. It has definitely added value to my fitness routine, and I find it motivating to use daily."
26
-
27
- - example_title: "Somewhat Positive"
28
- text: "The customer service at this cafe was pretty good. They were polite and attended to my needs promptly. The coffee tasted nice, and the atmosphere was cozy. I enjoyed my visit and would consider coming back, although there is room for improvement in the menu variety."
29
-
30
- - example_title: "Neutral"
31
- text: "The smartphone I purchased meets my expectations. It has all the features I need and performs adequately. The battery life is decent, and the camera quality is average. Overall, it serves its purpose well without any standout qualities or significant drawbacks."
32
-
33
- - example_title: "Somewhat Negative"
34
- text: "The hotel stay was not as bad as I had feared, but there were some issues. The room was clean, but the service was slow, and the amenities were limited. It wasn't a terrible experience, but I expected more for the price I paid."
35
-
36
- - example_title: "Negative"
37
- text: "I'm disappointed with the quality of this product. It feels flimsy and cheaply made. After only a few uses, it started showing signs of wear and tear. I expected better durability and performance based on the reviews. I wouldn't recommend this to others."
38
-
39
- - example_title: "Very Negative"
40
- text: "This is the worst purchase I've ever made. The item arrived broken, and the customer service was unresponsive. It was a complete waste of money, and I regret buying it. The overall experience was frustrating and disappointing. Avoid this product at all costs."
41
-
42
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
43
  ---
44
  Multi-label sentiment classification model developed by [Dejan Marketing](https://dejanmarketing.com/).
45
 
 
1
  ---
2
  license: bigscience-openrail-m
3
  pipeline_tag: text-classification
 
4
  widget:
5
+ - example_title: Very Positive
6
+ text: This product is absolutely amazing!
7
+ - example_title: Positive
8
+ text: I like the features of this app.
9
+ - example_title: Somewhat Positive
10
+ text: The service is pretty good.
11
+ - example_title: Neutral
12
+ text: It meets my expectations.
13
+ - example_title: Somewhat Negative
14
+ text: The experience was not as bad.
15
+ - example_title: Negative
16
+ text: I'm disappointed with the quality.
17
+ - example_title: Very Negative
18
+ text: This is the worst purchase I've ever made.
19
+ - example_title: Very Positive
20
+ text: >-
21
+ I recently bought a new sports jersey from this store, and it's absolutely
22
+ amazing! The fabric is high quality, the fit is perfect, and the design
23
+ looks even better in person. I'm thrilled with my purchase and highly
24
+ recommend this store to anyone looking for custom sports apparel.
25
+ - example_title: Positive
26
+ text: >-
27
+ I tried out the new fitness app, and I like its features. It has a
28
+ user-friendly interface, plenty of workout plans, and tracks my progress
29
+ effectively. It has definitely added value to my fitness routine, and I find
30
+ it motivating to use daily.
31
+ - example_title: Somewhat Positive
32
+ text: >-
33
+ The customer service at this cafe was pretty good. They were polite and
34
+ attended to my needs promptly. The coffee tasted nice, and the atmosphere
35
+ was cozy. I enjoyed my visit and would consider coming back, although there
36
+ is room for improvement in the menu variety.
37
+ - example_title: Neutral
38
+ text: >-
39
+ The smartphone I purchased meets my expectations. It has all the features I
40
+ need and performs adequately. The battery life is decent, and the camera
41
+ quality is average. Overall, it serves its purpose well without any standout
42
+ qualities or significant drawbacks.
43
+ - example_title: Somewhat Negative
44
+ text: >-
45
+ The hotel stay was not as bad as I had feared, but there were some issues.
46
+ The room was clean, but the service was slow, and the amenities were
47
+ limited. It wasn't a terrible experience, but I expected more for the price
48
+ I paid.
49
+ - example_title: Negative
50
+ text: >-
51
+ I'm disappointed with the quality of this product. It feels flimsy and
52
+ cheaply made. After only a few uses, it started showing signs of wear and
53
+ tear. I expected better durability and performance based on the reviews. I
54
+ wouldn't recommend this to others.
55
+ - example_title: Very Negative
56
+ text: >-
57
+ This is the worst purchase I've ever made. The item arrived broken, and the
58
+ customer service was unresponsive. It was a complete waste of money, and I
59
+ regret buying it. The overall experience was frustrating and disappointing.
60
+ Avoid this product at all costs.
61
+ language:
62
+ - en
63
  ---
64
  Multi-label sentiment classification model developed by [Dejan Marketing](https://dejanmarketing.com/).
65