1. Build a Text Dataset from AMAZON
Raymond ZHAO Wenlong (03/07/2018)

2. Collect data In the data age
In Statistical ML/DL/NLP, volumes of data is a key.
We could collect data from the wide world of web.
万维网

3. HTML HTML stands for Hyper Text Markup Language.
HTML describes the structure of Web pages.
HTML tags are element names surrounded by angle brackets
The browser uses them to determine how to display the document

4. Web scraping Download the webpage and parse it. Static web pages
Automating forms with Selenium
Amazon page - The right is the page source

5. The process Download: Requests is a HTTP library
Parse: Beautiful Soup is to parses a web page
See the developed script amazon_scraper.py
The Hypertext Transfer Protocol (HTTP) is an application protocol
We could download the static web pages
The <tr> tag defines a row in an HTML table.
The <td> tag defines a standard cell in an HTML table.
The id attribute specifies a unique id for an HTML element (the value must be unique within the HTML document). The id attribute is most used to point to a style in a style sheet, and by JavaScript to manipulate the element with the specific id.

6. The dataset
There are about 12k reviews for 180 laptops, and about 712k review words totally.
Each review is from 2 words to about 600 words; The mean is about 60 words.
See the AMAZON dataset amazon_reviews.json
The json format - dict
"Jay-sawn"

7. Thanks
Thanks Dr. Wong, David and Linkai