I want to build a machine learning platform that can take various textual data points and compare it a block of text and output a similarity score. I have the data that can be used to build the corpus. I don’t want to have to rebuild the corpus every time I want to do a new analysis. This application will be running on a flask server and needs to be ad fast as possible. That process should be in a separate script and could be rebuilt when called. I also want to extract the block of text from the data point that it’s being compared to. I would like this software to be developed using Python.
We already use Doc2Vec, but the accuracy of the match is not good enough. We are interested in utilizing Manhattan LTSM or some of Siamese model for meaning comparison. Or whatever you believe will be able to produce accurate results quickly.
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Hi there, please leave a message on my chat so we can discuss the budget and deadline of the project. I have read your project description and i'm confident i can do this project for you perfectly. Thanks . .
HI, I am Machine Learning Engineer and have good experience in python and R programming. My area of interest is NLP/Text Mining applications and apply ML/deep learning algorithm. I can intern your tasks. Kind Regard
My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in Digital Signal/Image/RF Processing. I do my work in MATLAB (expert). I also do Python programming.