I need a running code using simple transformers library to get a multilabel and multiclass classifier!
I will be having a ecommerce reviews data set.
Example-->
1-the product is good but the price is high
expected output--> product = Positive , Price = Negative, Delivery = Neutral, Packaging = Neutral
2- the product is average but the delivery was very fast
expected output -> product= Neutral , Price = Neutral, Delivery = Positive, Packaging = Neutral
I will be having total 4 labels --Product,Price,Delivery, Packaging
and 3 classes --Positive , Negative, Neutral
__I m referring to these__:
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Experienced data scientist who is ranked within top 1% data scientists globally on kaggle and has successfully delivered more than 70 machine learning projects with 5 star reviews as a freelancer. Have expertise in NLP having completed projects such as text comprehension, text summarization, text classification, sentiment analysis etc. and have previously worked as NLP expert for a US based AI company.
Looking forward to hearing back from you !
Hello,
Hope you doing well.I have checked all your requirements and we able to do this and deliver in time.I have 5 years of experience in these types of work. So, I believe we can do that work with your support.
Regards
I can complete your task.I have an experience in machine learning and data science currently I am working on instacard market basket analysis kaggle competition.
You can share your details with me.
hello sir , I am a machine learning engineer having 5+ years of experience . I have done many projects on image classification either in agriculture sector or in medical sectors.
I have used many framework for object detection like pytorch,mxnet , tensor flow ,keras , caffe .
some of my projects are
identification of different types of notes
object detection using YOLO or RCNN
custom object detection
brain hemorrhage subtypes detection
I hope you will like my profile . PLEASE email me for more details where we can discuss the project in deep. And I am pretty sure that you will get best results ever.
Hi, I have read your project and found it quite similar to the projects and researches that I have done in the past, as a Deep learning researcher. Some of my work include: human activity recognition, tweets sentiment analysis, urban sound / images classification as well as domain adaptation of images and time-series data. Contact me if you are interested.
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Hey,
I have done a similar project for a hackathon but unfortunately had to stop it there. I have ideas I can develop for this problem statement. I am coming on as a freelancer after a long time. I would like you to be open to NLP and nltk on this, but not the basic sentiment analysis. I already have trained 2 models which are big enough for positive and negative sentiment analysis which is based on user reviews and could be of help determining the class of price/packaging/delivery belong to.
I have the needed experience for development of such models. One of the project I have done in past is Question-Answering using transformers. Though, I implemented the model from scratch using pure tensorflow at that time. But in this task, I will be using the library you specified.
I can do it easily but I had a question. Training transformers requires a high spec system. So are you going to provide one? If yes, I can do this task very easily. If no, maybe I will need to find some other way to do this. Only after looking at the size of model, can we define the system needed to train it.
Still, the task is easy to achieve if you have labelled data. I can do this.