smart-search 0.0.3

A search algorithm for efficient searching in PDFs

:arrows_counterclockwise: Context-Search is a tools designed to increase efficiency during your study hours.

Usage

1. Pip install the package.

$ pip3 install smart-search

• NOTE : Please have the pickle file in the same folder as the python script in which you will use our pip package.

Here i use the glove.6B.zip file from Standfords Github repository from the hyperlink.

Syntax

1. Import the library.

>> import smart_search

2. Create an object of the class, smart_search.model(). Say, functioncaller.

>> functioncaller = smart_search.model()

3. Now to convert a pdf to a list of lists containing page.no and words after stop word removal, we use the built in function getting_list_of_words(). This accepts 1 argument, i.e the path to the pdf and returns the required list to be fed to the model.

>> pdf_list = functioncaller.getting_list_of_words('path to your pdf')

4. Pass this list to the model along with the word you want to get the search result of using the perform_skip() function. This accepts 2 variables, i.e the list produced by the previous function and the word you want to search for and retuns the top 5 relevant search locations of the word you searched for.

>> location[0:5] = perform_skip(pdf_list, input_word)

5. You can use subprocesses library of python to navigate to the page if you want to.

LICENSE

MIT