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Commit 5953521

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‎CONTRIBUTING.md

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- To commit give a descriptive message for the convenience of reveiwer by:
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```
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# This message get associated with all files you have changed
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$ git commit -m 'message
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$ git commit -m "message"
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```
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- **NOTE**: A PR should have only one commit. Multiple commits should be squashed.
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## Step 6 : Work Remotely

‎Desktop News Notifier/Readme.md

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- On running the script it gives a notification of top 10 news
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## Select Stocks by volume Increase Instructions: 👨🏻‍💻
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## Desktop Notifier Instructions: 👨🏻‍💻
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### Step 1:
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‎Num-Plate-Detector/car.jpeg

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‎PDF2Text/Readme.md

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# <b>PDF2Text</b>
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[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)
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## PDF2Text Functionalities : 🚀
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- Converts PDF file to a text file
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## PDF2Text Instructions: 👨🏻‍💻
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### Step 1:
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Open Termnial 💻
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### Step 2:
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Locate to the directory where python file is located 📂
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### Step 3:
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Run the command: python script.py/python3 script.py 🧐
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### Step 4:
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Sit back and Relax. Let the Script do the Job. ☕
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## Requirements
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- PyPDF2
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## DEMO
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1) Select the PDF File
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![Screenshot (127)](https://user-images.githubusercontent.com/60662775/112711916-ff837580-8ef1-11eb-998b-1c96fec1de2f.png)
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2) Place the PDF File in the script folder
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![Screenshot (128)](https://user-images.githubusercontent.com/60662775/112711924-12964580-8ef2-11eb-8aec-ef33fb3d19e1.png)
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3) Now open cmd
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![Screenshot (129)](https://user-images.githubusercontent.com/60662775/112711947-41142080-8ef2-11eb-80bb-71539b301b4e.png)
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4) Enter the input like the PDF File path and number of pages
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![Screenshot (131)](https://user-images.githubusercontent.com/60662775/112711986-846e8f00-8ef2-11eb-9cbd-cc6dc204b6b3.png)
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5) The PDF File will be converted to text file (OUTPUT)
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![Screenshot (132)](https://user-images.githubusercontent.com/60662775/112712000-92bcab00-8ef2-11eb-9191-252d6e6c526d.png)
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## Author
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Amit Kumar Mishra
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‎PDF2Text/script.py

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import PyPDF2
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pdf = input(r"Enter the path of PDF file: ")
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n = int(input("Enter number of pages: "))
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page = PyPDF2.PdfFileReader(pdf)
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for i in range(n):
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st=""
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st += page.getPage(i).extractText()
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with open(f'./PDF2Text/text{i}.txt','w') as f:
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f.write(st)
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‎Remove_POS_hindi_text/Input.png

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‎Remove_POS_hindi_text/Only_Hindi.txt

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‎Remove_POS_hindi_text/Output.png

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‎Remove_POS_hindi_text/README.md

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# Package/Script Name
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Short description of package/script
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-->Package installed- NLKT
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- NLTK stands for 'Natural Language Tool Kit'. It consists of the most common algorithms such as tokenizing, part-of-speech tagging, stemming, sentiment analysis, topic segmentation, and named entity recognition. NLTK helps the computer to analysis, preprocess, and understand the written text.
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## Setup instructions
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--> Explanation on how to setup and run your package/script locally
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- simply import the NLKT package by writing 'import nlkt' in first line of your script.
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- To run the script locally save the 'Tagged_Hindi_Corpus.txt' file at your favourable location.
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- In code, in fp=open(r"..."), give the location of your saved file as mentioned in previous step.
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- In code, in fd=open(r"..."), give the location where you want the file with only Hindi text after removal of POS.
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- Note that for this script, I have run the script therefore only_hindi.txt file already exists. Before executing your script make sure you delete 'only_hindi.txt' file and see it after running the script.
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- Run the script with "python hindi_POS_tag_removal.py OR python <name of your py file.py>"
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- You will be able to see the file with only Hindi text.
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## Detailed explanation of script, if needed
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Script is written as follows:
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- Open the hindi_tagged_corpus file.
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- Data tokenization.
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- Create 2 empty lists.
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- To get all categories from POS.
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- To get all the hindi words.
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- To concatenate the words.
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- To write the words in only_hindi file.
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## Input
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![Image](C:\Users\ZAVERI SANYA\Desktop\Amazing-Python-Scripts\Remove_POS_hindi_text\Input.png)
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## Output
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![Image](C:\Users\ZAVERI SANYA\Desktop\Amazing-Python-Scripts\Remove_POS_hindi_text\Output.png)
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## Author(s)
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- This code is written by Sanya Devansh Zaveri. [https://github.com/zaverisanya]
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## Disclaimers, if any
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There are no disclaimers for this script.

‎Remove_POS_hindi_text/Tagged_Hindi_Corpus.txt

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