Unsupervised Key Phrases (Topic) Extraction with RAKE | Applied NLP Tutorial in Python

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Rapid Automatic Keyword Extraction(RAKE) is a Domain-Independent keyword extraction algorithm in Natural Language Processing. This Applied NLP tutorial teaches you to use RAKE for Keyphrases or Keyword extraction on Text Corpus. Extremely helpful in Topic Extraction.

00:00:00 - RAKE Concept
00:14:46 - Rake Python Coding on Kaggle

1littlecoder

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Hi instead of entity i want to extract some specific paragraph from documents in ml way. so NER wont work, classification problem only classify its also not going to work(correct me if i am wrong) what approach can i use to extract???anybody help me

rajasekark

Hi @1littlecoder thanks for sharing this information. But here is one query which I am looking. let suppose I have chat data per user and I have exracted 1-2 important sentence from each chat, Can RAKE work to extract most significant word from the extracted sentence to find the purpose of chat

saurav.vlogger

When doing it for entire column in dataframe it showing attribute error rank_list not found

KiranReddy

The Word Degree Matrix Created is wrong, pls check it.

adimis_fit

Could you please tell where can it be used?

rahulxdd

Hei....
From data science professionals
You took
Data
Data science
Data science professionals
Then what about science professionals
I will be very happy if you are answering this and also the next min of you answer i will be your subscriber 👍😅

nandaanumolu

notes.pn_history[10] this is given error
AttributeError: 'DataFrame' object has no attribute 'pn_history'
When i was using this on colab notebook

plzz solve this

kaushikjoshi

Unsupervised Key Phrases (Topic) Extraction with RAKE | Applied NLP Tutorial in Python

Unsupervised Key Phrases (Topic) Extraction with RAKE | Applied NLP Tutorial in Python

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