Build NPL model for relationship extraction

The model should predict the relationship between 2 or 3 words from the glove with 100 features database using numpy library only.

Example: Given three words: Swiss, Cake, Cottage, predict Cheese. The output should include the prediction along with probability.

Deliverable: Juypter notebook with Python 3 code with numpy only.

Skills: Machine Learning (ML), Natural Language, Python

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About the Employer:
( 10 reviews ) Wichita, United States

Project ID: #18769456

13 freelancers are bidding on average $197 for this job


Hello sir, To be very specific, yes I have worked on glove, and able to predict relationship between 2 or 3 words. I have strong NLP and Machine learning background. I do write my all NLP and ML code on jupyter in More

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(71 Reviews)

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(23 Reviews)

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(12 Reviews)

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(4 Reviews)

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I am the best candidate for this project because I had done python Natural Language Processing using NLTK and also done Sentiment analysis. I also done two classification and multi-classification problem in Machine Lea More

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I have worked on image captioning project where I have used the globe matrix to extract the similarity between words and processed the image to extract the appropriate caption for it.

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i have experience in mathematucal computing in NumPy and core python experience. i can complete this work with in 7 days for 180$

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