POS removal from hindi text

Author: zaverisanya

Remove_POS_hindi_text/Input.png

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+# 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
+- simple 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
+- Run the script with "python hindi_POS_tag_removal.py"
+- 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
+
+![Image](C:\Users\ZAVERI SANYA\Desktop\Amazing-Python-Scripts\Remove_POS_hindi_text\Input.png)
+
+## Output
+![Image](C:\Users\ZAVERI SANYA\Desktop\Amazing-Python-Scripts\Remove_POS_hindi_text\Output.png)
+
+
+## Author(s)
+
+- This code is written by Sanya Devansh Zaveri. [https://github.com/zaverisanya]
+
+## Disclaimers, if any
+
+There are no disclaimers for this script.