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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

See more: 300 word placeholder text, word microsoft word mp3 text, word count text file code, urdu english word word translate text messages, embedding text freelancers developers, use word wrap text field java, color word rech text box, word fix text spacing, php parse word files text pdf, vba word copy text paste, embedding text photo, lexicon based sentiment analysis in r, dictionary based sentiment analysis python, aspect based sentiment analysis, semeval-2014 task 4: aspect based sentiment analysis, topic modeling based sentiment analysis

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

Project ID: #22156361

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