hassansattar
commited on
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
## 1) Create Amazon Product Review Sentiment Analysis
|
2 |
|
3 |
|
@@ -32,4 +46,4 @@ The dataset comprises reviews collected from Amazon, each labeled as either posi
|
|
32 |
## Technologies and Techniques Used
|
33 |
- **Python**: For all backend operations including data handling and model training.
|
34 |
- **TensorFlow/Keras**: To build and train the neural network.
|
35 |
-
- **Natural Language Processing**: Techniques such as tokenization and vectorization to convert text data into a form that can be fed into the model.
|
|
|
1 |
+
---
|
2 |
+
license: unlicense
|
3 |
+
datasets:
|
4 |
+
- McAuley-Lab/Amazon-Reviews-2023
|
5 |
+
metrics:
|
6 |
+
- accuracy
|
7 |
+
- recall
|
8 |
+
pipeline_tag: text-classification
|
9 |
+
library_name: tf-keras
|
10 |
+
tags:
|
11 |
+
- text-classification
|
12 |
+
- sentiment-analysis
|
13 |
+
- amazon reviews
|
14 |
+
---
|
15 |
## 1) Create Amazon Product Review Sentiment Analysis
|
16 |
|
17 |
|
|
|
46 |
## Technologies and Techniques Used
|
47 |
- **Python**: For all backend operations including data handling and model training.
|
48 |
- **TensorFlow/Keras**: To build and train the neural network.
|
49 |
+
- **Natural Language Processing**: Techniques such as tokenization and vectorization to convert text data into a form that can be fed into the model.
|