use case
Browse files
app.py
CHANGED
@@ -18,7 +18,7 @@ def similar(issue):
|
|
18 |
|
19 |
|
20 |
iface = gr.Interface(fn=similar, inputs="text", outputs="text", title="NLP Leads Generation", description="""
|
21 |
-
Data Scientist: Kevin Wong
|
22 |
============
|
23 |
open source ml bank dataset
|
24 |
https://www.kaggle.com/datasets/trainingdatapro/20000-customers-reviews-on-banks/?select=Banks.csv
|
@@ -34,7 +34,7 @@ Client Experience:
|
|
34 |
------
|
35 |
When a client faces a bad experience, SSDS helps us swiftly locate relevant documents to understand and address their concerns, be it credit card issues, late payment fees, or credit score drops.
|
36 |
|
37 |
-
issue:
|
38 |
- having bad client experience
|
39 |
- having credit card problem
|
40 |
- late payment fee
|
@@ -44,7 +44,7 @@ Marketing Leads:
|
|
44 |
------
|
45 |
To enhance marketing strategies, SSDS identifies market trends and consumer preferences, such as the demand for low-interest credit cards. It's a treasure trove for refining our product offerings.
|
46 |
|
47 |
-
issue:
|
48 |
- low interest credit card
|
49 |
|
50 |
Sentiments:
|
@@ -52,8 +52,9 @@ Sentiments:
|
|
52 |
SSDS tracks customer sentiment, empowering us to swiftly respond to upset customers. It ensures we address their issues promptly, enhancing trust and loyalty.
|
53 |
With no need for jargon, SSDS delivers tangible value to our fintech operations. It's about staying agile, informed, and customer-centric in a rapidly changing financial world.
|
54 |
|
55 |
-
issue:
|
56 |
- upset customer
|
|
|
57 |
Future Improvement
|
58 |
============
|
59 |
tuning the distance for use case
|
|
|
18 |
|
19 |
|
20 |
iface = gr.Interface(fn=similar, inputs="text", outputs="text", title="NLP Leads Generation", description="""
|
21 |
+
Data Scientist: Kevin Wong, [email protected], 416-903-7937
|
22 |
============
|
23 |
open source ml bank dataset
|
24 |
https://www.kaggle.com/datasets/trainingdatapro/20000-customers-reviews-on-banks/?select=Banks.csv
|
|
|
34 |
------
|
35 |
When a client faces a bad experience, SSDS helps us swiftly locate relevant documents to understand and address their concerns, be it credit card issues, late payment fees, or credit score drops.
|
36 |
|
37 |
+
### issue:
|
38 |
- having bad client experience
|
39 |
- having credit card problem
|
40 |
- late payment fee
|
|
|
44 |
------
|
45 |
To enhance marketing strategies, SSDS identifies market trends and consumer preferences, such as the demand for low-interest credit cards. It's a treasure trove for refining our product offerings.
|
46 |
|
47 |
+
### issue:
|
48 |
- low interest credit card
|
49 |
|
50 |
Sentiments:
|
|
|
52 |
SSDS tracks customer sentiment, empowering us to swiftly respond to upset customers. It ensures we address their issues promptly, enhancing trust and loyalty.
|
53 |
With no need for jargon, SSDS delivers tangible value to our fintech operations. It's about staying agile, informed, and customer-centric in a rapidly changing financial world.
|
54 |
|
55 |
+
### issue:
|
56 |
- upset customer
|
57 |
+
|
58 |
Future Improvement
|
59 |
============
|
60 |
tuning the distance for use case
|