Twitter Sentiment Analysis (NLP) | Machine Learning | Python

⭐️ Content Description ⭐️
In this video, I have explained about twitter sentiment analysis. This is a Natural Language Processing and Classification problem. I have done the basic preprocessing steps for text data, EDA, feature extraction, training and testing. This is one of the basic text analysis problem.

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🕒 Timeline
00:00 Introduction to Twitter Sentiment Analysis
01:53 Import modules and load data using pandas
05:13 Preprocessing the twitter sentiment data
19:11 Exploratory Data Analysis of twitter sentiments
35:04 Feature extraction of data
38:30 Splitting the data for training & testing
39:38 Model Training & Testing for twitter sentiments

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[pranayzalke]

Big thank you Ashwin, it helped me do a project overnight.

[saviovnn]

Thanks for the caption it helps a lot !!! Send hi it to Brazil.

[nasreenbanu]

Thank you so much.You made me understand complex problem to simple.Hats off..keep going.Can u make video on choosing statistical test.

[dataanalyticsfun]

Thanks you very much sir for making amazing video .sir I have request to you to make a video regarding future engineering and feature selection . thanks

[volatile]

hey really big thanks for the sentiment Analysis, can you make a video on sentiment analysis with LLMs

[kajalsoni]

great tutorial!! can you tell me how would we go about making a gui for this model? using gradio maybe?

[rohanpatel]

Sir please make some more advanced project like this for cse students

[mouskey]

Tq sir its more helpuful for my project

[viraj]

hey!! great work....just wanted to know which algorithm did you actually use in above video

[djadeja]

First of all thanks for such amazing explaination,
But I want to ask you that from feature extraction step you didn't use datavisualization or list of hashtags you created. I have done the same whole code as well as second time after preprocessing I jumped on feature extraction and both gave the same output in f1_score and accuracy_score!!!

So can you explain how bag of word has helped in classification??? In which step they classified positive and negative tweets?

[razibdebnath]

can i use the same pre-processing procedure for SVM, naive bayes and random forest model?

[خلیلشاھ-شع]

how can we get confusion matrix eg precision, recall, f1 scores?

[rapidknowledge]

Please make video on live tweets analysis using machine learning

[RashmiTigadi]

Which algorithm is used in this process which u have explained

[flouwer]

How can I classify it as neutral as well?
and
How can we integrate the model into a web app?

[ephrembekele]

Sir you said the objective was to detect hate speech in tweets. so what can we conclude from the results? I am a little confused.

[mukeshrajpurohit]

It will create data leakage problem if we get BOW before splitting the data into train & test.

[artfromtheheart]

Can You Please Make video for this? "Automated Classification of Societal Sentiments
on Twitter With Machine Learning"

[mwanza]

Hello sir, i have an issue downloading wordcloud even after installing c++ build tools, what could the issue be

[xenoxel]

I dont seem to be able to remove the semi colon with the code you have given. re seems to be installed does anybody else have the same problem?