Implement ML algorithm (python)
Budget: $30 – $250 USD
----PLEASE DON'T POST BID BEFORE HAVING A LOOK ON PAPERS DETAILES----
Algorithm: structural correspondence learning (SCL)
the original algo in paper 1. the same algo applied for sentiment analysis in paper 2.
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paper 1: [John Blitzer, Ryan McDonald, and Fernando Pereira. 2006. Domain adaptation with structural correspondence learning. In Empirical Methods in Natural Language Processing (EMNLP).]
paper 2: [Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification]
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My task is sentiment analysis, so details of paper 2 is required.
My data is csv of texts, labeled as positive and negative.
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required: implement SCL in python notebook, and run it on sample of data similar to my format.
Algorithm: structural correspondence learning (SCL)
the original algo in paper 1. the same algo applied for sentiment analysis in paper 2.
---
paper 1: [John Blitzer, Ryan McDonald, and Fernando Pereira. 2006. Domain adaptation with structural correspondence learning. In Empirical Methods in Natural Language Processing (EMNLP).]
paper 2: [Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification]
---
My task is sentiment analysis, so details of paper 2 is required.
My data is csv of texts, labeled as positive and negative.
----
required: implement SCL in python notebook, and run it on sample of data similar to my format.