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Word Embedding as text classification task for implicit aspects-based sentiment analysis

Train the word embedding model for text classification.

Task :

1) train the word embedding using the online reviews dataset like (SemEval-2014-task 4 Or Bing Liu dataset)

2) the trained dataset contains both (explicit and implicit reviews)

3) idintify the implicit aspects (hidden aspect/feature) in the online reviews using classifier.

4) train the classifier using the explicit and implicit aspects, then identify the implicit aspects using the testing part.

Skills: Data Science

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About the Employer:
( 0 reviews ) George Town, Malaysia

Project ID: #22156361

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rhapsody07

What a coincidence!!!!. I happen to be working on a very similar Word Embedding problem and trust me it gave awesome results. Hello there, I went through your requirement and I can do it. I have experience in a var More

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6 freelancers are bidding on average $197 for this job

suyashdhoot

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subbu4696

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esraaag

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datascienceorguk

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pandaczm

Hi, I am a PhD of Machine Learning, a senior data scientist of NLP. My current work is exactly the same with your project. I am very good at several state-of-art text classification methods, e.g. CNN, LSTM, BERT. I a More

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