Sentiment Analysis with HuggingFace Transformers Pipeline | 5 Lines of Python code

In this video, I'll show you how you can perform Sentiment Analysis with Hugging Face Transformers Pipeline with 5 lines of code in Python.

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[MrSoumyabrata]

You are awesome. Your videos are exceptional from the other youtube creators. You always give the information in bite-size videos and that is phenomenal. Keep up the good work.

[abhishekranjan]

I subscribed to your channel right now when you executed the 2nd

[AnandP]

Is it possible to do this with a custom dataset?

[shreyasb.s]

Good video I have one question here.
If this is only doing all the work then why we need to train model using navies Bayes, LSTM etc. I mean why we need to build sentimental anayslsis project end to end.?

[abhishekprakash]

actually how can i used question answer pipline is there in i extrxt question and answers using tranforrmer

[prateek]

Is there any way i can use this to parse through 1000s of comments and give an output in tabular form?

[vinimator]

Thanks for this post, can you suggest if I want to create my own pipeline from scratch for say NLP problem. Can you point me to resources or papers I need to refer. Thanks

[gururajraykar]

Amazing one. I am looking for video of Aspect based Sentiment analysis. Please make a video of that. Thank you

[abhishekranjan]

I get a problem in executing the 3rd and 4th line of code. I am using Jupyter notebook.
It shows that :- -- 'str' object is not callable


Please help

[kruthikngowda]

can you explain the process of how those libraries work

[jayaraghavendra]

please help me I want to know the sentiment of a "text" column which data scraped from Twitter API.

[raviirla]

Great vedio Bhavesh.. to test it I gave as below, it predicted correctly as negative.


senti_pipeline("Thanks for dropping my language in Hyderabad instead of Chennai")

[thunderbolt]

Hello Bhavesh bhaiya, Your videos are really good and to point.
But I had this one thought, actually I'm quite new to ML so I don't have much idea but from ML tutorials I see on YouTube, why is that we are almost always using libraries. I mean for some trivial and repetitive task it's fine, but I see them being used everytime. What's the point of learning if we don't use something from our head and just keep on using libraries?
I am really sorry if my question is naive😅

[shrijeetbiswas]

i might be asking too much .. can you please upload tutorials on object detection.
how to start, steps involved, what are annotation files and how to prepare them for our own custom dataset
finally how to use these annotation files to train a model preferably faster RCNN or YOLO
thank you

[EndaRunning]

if you run this code, and get Errors
pip Install Flax helped me