NLTK Tutorial 11: Sentiment Analysis | TF-IDF | NLTK | Python

NLTK Tutorial 11: Sentiment Analysis | TF-IDF | NLTK | Python
GitHub JupyterNotebook: github.com/sid...
GitHub Data: github.com/sid...
About this video: In this video, you will learn how to aboutSentiment Analysis in NLTK
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[@awaisahmad5908]

great video

[@StatsWire]

Thank you

[@dharna452]

amazing explaination..thanks a lot :)

[@StatsWire]

I'm glad you liked it! You're welcome.

[@EdvardStepancukkr]

Thank you for great video! One question: shouldn't you have used stop words for TF-IDF, considering that many of the words do not have any sentiments (f.e. "This", "It', "Is") and it would also decrease vector size/computation time?

[@StatsWire]

You are right, we should remove stop words as it has no sentiments.

[@mazharalamsiddiqui6904]

Very nice tutorial

[@StatsWire]

Thank you

[@nabinupreti3416]

what if the predictions and y_test are "string" datatype ? FOr AUC plot it says--> could not convert string to float:

[@StatsWire]

You should have float type. Please find the jupyternotebook here: github.com/siddiquiamir/NLTK-Text-Mining

[@amberharoon513]

I am getting this error ValueError: could not convert string to float: 'absolute must for everybody lighting fast charge' can you please help

[@StatsWire]

You have to check your data type. First convert the data into float and also check for missing values. Please download the jupyter notebook from my github page and run it on your machine github.com/siddiquiamir/NLTK-Text-Mining/blob/main/Sentiment%20Analysis-TFIDF.ipynb

[@umamahaswarikarre8062]

Sir can you please provide the full code for sentiment analysis on twitter using logistic regression

[@StatsWire]

Thank you for the suggestion. I will provide it soon.

[@StatsWire]

Here is the code for this video github.com/siddiquiamir/NLTK-Text-Mining/blob/main/Sentiment%20Analysis-TFIDF.ipynb

[@superfreiheit1]

@@StatsWire where is the amazon csv file

[@StatsWire]

@@superfreiheit1 It is in the github repo

[@superfreiheit1]

@@StatsWire no its not. can you give me the link

[@sagarkishoredakua5082]

Please show the code for getting the accuracy.

[@StatsWire]

Hello Sagar, please find the code link. You can download it from GitHub GitHub link: github.com/siddiquiamir/NLTK-Text-Mining

[@asroofficial2044]

thank you great video I am waiting for the new video Subscribe to you

[@StatsWire]

That's really kind of you. Thank you.