Web Classfier Project.

Given any page (URL), the program will classify the page, and return a list of relevant topics.

Getting Started

These instructions will get you a copy of the project up and running on your machine for development and testing purposes.

Prerequisites

Python - 3.0+ /url "https://www.python.org/downloads/"

Libraries:

1. Python NLTK Library 
2. Python BeautifulSoup	
3. Python urllib	
4. Python requests

Commands:

$ pip install nltk
$ pip install BeautifulSoup
$ pip install urllib
$ pip install requests

How to run

Program takes two command line arguments. One is a valid URL and second is the count of relevant tags.
Syntax : python webClassifier.py <url> <count>
Example as given below.

.................
$ python webClassifier.py https://www.cnn.com/2013/06/10/politics/edward-snowden-profile/ 25
.................

Design Details:

1. webClassifier.py - Main File to run
2. NltkHelper.py - Helper functions using NLTK library
3. WebHelper.py - Web parsing helper functions
4. IOHelper.py	- I/O operations helper functions
5. Helpers.py	- Miscellenous helper functions

Process Abstract:

1. Project parses readable text from a webpage
2. Word tokenization is performed on the result
3. Stop words from the word tokenized text is removed
4. Stemming is performed on this
5. Frequency distribution is used to find most top repeated words
6. Nouns from the most repeated words are given as the relevant keywords defining the page

In progress:

1. Using part of Speech tagging to identify group of nouns
2. Identifying relevant bigrams/trigrams from the page.

Bugs:

1. Project doesn't support amazon webpages as amazon prevents web crawling through program. Alternative approach to be checked.

License

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

kiranvm/WebpageClassifier