Package/Script Name

Short description of package/script

-->Package installed- NLKT

• 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.

Setup instructions

--> Explanation on how to setup and run your package/script locally

• simply import the NLKT package by writing 'import nlkt' in first line of your script.
• To run the script locally save the 'Tagged_Hindi_Corpus.txt' file at your favourable location.
• In code, in fp=open(r"..."), give the location of your saved file as mentioned in previous step.
• In code, in fd=open(r"..."), give the location where you want the file with only Hindi text after removal of POS.
• 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.
• Run the script with "python hindi_POS_tag_removal.py OR python "
• You will be able to see the file with only Hindi text.

Detailed explanation of script, if needed

Script is written as follows:

• Open the hindi_tagged_corpus file.
• Data tokenization.
• Create 2 empty lists.
• To get all categories from POS.
• To get all the hindi words.
• To concatenate the words.
• To write the words in only_hindi file.

Input


Output


Author(s)

• This code is written by Sanya Devansh Zaveri. [https://github.com/zaverisanya]

Disclaimers, if any

There are no disclaimers for this script.