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This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

License: MIT License

Python 100.00%
python-3 natural-language-processing bag-of-words tfidf text-mining nlp-machine-learning

hands-on-natural-language-processing-with-python's Introduction

Hands-On-Natural-Language-Processing-with-Python

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

For cloning you must have "Git" installed in your system.

To clone just type the following:

git clone https://github.com/bijoyandas/Hands-On-Natural-Language-Processing-with-Python.git

If you find any mistakes or you can't figure out something, raise a question. I will get back to you asap.

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hands-on-natural-language-processing-with-python's Issues

Extracting data from a not .txt file

Hello Bijoyan,
I took your NLP class from Udemy and it was really helpful. I wanted to ask is there any way we can extract data from .java or any other scripting language for analysis? Or how can we have python read through a a .Java file for tokenization.

Error trying to use “nltk.download()” in Text Summarization. Python 3.7

I searched in web and I found the solution. I want to share it. Instead of just put “nltk.download()”, try:

import nltk
import ssl

try:
_create_unverified_https_context = ssl._create_unverified_context
except AttributeError:
pass
else:
ssl._create_default_https_context = _create_unverified_https_context

nltk.download()

Hence, will open a windows to choose the specific tool.

Sent with GitHawk

Error Finding

image

code:
sample=["Iphone is not a bad phone"]
sample=tfidf.transform(sample).toarray()
#print(clf.predict(sample))
sentiment=(clf.predict(sample))
if 0.5<=sentiment<=1 :
print("This is a positive sentence",sentiment)
else:
print("This is a negetive sentence",sentiment)

Output:
This is a negetive sentence [0]

the sentence is a positive sentence but in the text classifier it removes not and count bad as a negetive word.How can i solve it

Contact

Sir i just need to talk to you on this. I dont find any other way to through u my message. Kindly contact me i need help regarding this code of NLP.

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