Can your computer REALLY understand your feelings? Sentiment Analysis positive, negative, or...? AI

hey everyone I'm excited to share a new project I created a Sentimental analysis app using machine learning this app can analyze the sentiment positive negative or neutral of any sentence you type it us pre-train model from the Transformers Library which is a powerful tool for natural language processing which is simply called as NLP check out the screen recording to see it in action so I'll be explaining you in detail yeah we'll go with the positive one these are set of examples which I've you know previously I've checked it out and I just pasted over here so not to waste time the customer service was outstanding and very helpful is a positive one and it has given you the positive result bot so we'll go with the neutral sentence the weather today is neither good or bad just average so this is the neutral one and it has given you the sentiment as neutral all so the last one yeah this is an example fortive one this has been the worst experience I've ever had with your any company so this is basically a negative one and then the sentiment negative so the back end as I told you before I've used streamlit for the front so you know and then the Transformers Library so Transformers are a type of natural uh you know neural network architecture uh specifically designed for natural language processing tasks so they' have uh achieved state of the art uh performance on various NLP task like sentiment analysis M uh machine translation question answering and more and then you know coming on to the other part uh they are typically pre-trained on massive amount of uh text Data allowing them to learn General patterns and language that can be applied to specific tasks so other than that uh coming on to the other one uh the pipeline so scroll into the bottom the pipeline which I you could see it here the pipelines are a feature within the Transformers library that makes it easier to use pre-train models from various NLP tasks uh they act as an abstraction lay hiding the complexities of loading processing and using the pre-trained models allows you to F focus on the specific NLP tasks you want to perform like for example I've used you know sentiment analysis over here you could select the model too I have specifically mentioned a model over here so uh you could by default you could just simply say sentiment analysis you have to type it like this as it is sentiment and then hyen analysis in a double quotation and then close the bracket by default it will be selecting a model I have specifically mentioned a model so you'll have to uh know and this is the syntax like model equal to and then on the double codes you'll have to type the name of the model as it is or else you'll be it'll be throwing an error message you'll have to type it as it is yeah then in general uh Transformers they are powerful tools for complex NLP tasks and pipelines easy to use interface to Leverage The Power of Transformers for specific NLP needs so these are the stuffs and then yeah mapping it a simple code of you know uh mapping it uh this is uh the the confidence score and then the label yeah it throws you an output and then uh mapping it will be finding it it is negative neutral or the positive one and printing it here which is on the front end good see it here and this is it thank you so these things are all uh the requirements for the scam Stu forting is being run so thank you that's it

Channel: Sandeep R Data Science

Views: 27

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Id: vskJeBJ8qzc

Length: 4min 30sec (270 seconds)

Published: Tue Jun 25 2024