Büyük Veride Tavsiye Sistemlerini Duygu Analizi ile Desteklemek

Bu çalışmanın amacı kullanıcı puanlama temelli tavsiye sistemlerinin, kullanıcı puanları yerine duygu analizinden elde edilen değerler ile büyük veri üzerinden gerçeklenmesidir. Internet üzerinden e-ticaret sistemlerinin yaygınlaşması ile çok fazla kullanıcı verisi oluşması, alışılmış depolama sistemlerinin artık yeterli gelmemesi ve verinin bölünmesi durumunu oluşturmuştur. Ancak dağıtık dosya sistemleri teknolojileri ile veri bütünlüğünü sağlamak mümkündür. Bu veri üzerinden makine öğrenmesi algoritmalarının çalıştırılması ve sonuçların değerlendirilmesine büyük ihtiyaç duyulmaktadır. Bu çalışmada tavsiye sistemlerinin dağıtık veri üzerinden değerlendirilmesinde, doğal dil işleme adımlarının sisteme eklenmesi ile sağlanan iyileştirme raporlanmıştır.

Anahtar Kelimeler:

tavsiye sistemleri, büyük veri, dağıtık dosya sistemleri, duygu analizi

Distributed Recommender Systems with Sentiment Analysis

In this research rating based recommender system (RS) on sentiment analysis (SA) by using online reviews data by store big data technology. Online reviews are important to understand users decide to buy a product, see a movie or buy a food user feedback. However nowadays collect lots of reviews from user feedback on e-commerce web sites therefore the importance of increasing big data technology, at the same time increasing needs of big calculation. We report on our classification effort on the sentiment information of reviews, structure of distributed file system and frameworks. Our work focuses on information from reviews to improving recommendation accuracy with the big data era.

Keywords:

recommender systems, big data, distributed systems, sentiment analysis,

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