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Finalizing my Vodafone experience with Word2Vecs

In our latest project at Vodafone R&D, I was working under the supervision of Istanbul Technical University professor Gulsen Eryigit. All of the academical community in Turkey believe that Prof. Eryigit is the most important professor in the domain of Natural Language Processing based on Turkish Language. I had the chance of studying with Prof. Eryigit. Within a month, I implemented a predictive model based on Word2Vecs using Python language and Gensim framework.

The Word2Vec approach has been one of the trend topics of Natural Language Processing since 2014. In this technique, a neural network-based model is trained with a large vocabulary in order to identify the words as multi-dimensional vectors. Within a month, I implemented the predictive model, and then we calculated the score of our model using the Mean Average Precision technique, which is a well-known approach when there are ordered results (the ranking of outputs are important) Now we are following the existing research in Semeval 2017 task 3.

It is a great pleasure to finalize my working experience at Vodafone that lasted for 5 years with such a meaningful project!

 

 


Also published on Medium.

Published inArtificial IntelligenceNatural Language Processing

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