Review on Apache Flink
This paper describes an overview of apache Flink a data processing framework or tool developed by Apache organization. In this paper I provide some insights on apache Flink on how it works and how efficient it is compared to other data processing tools available out there. This paper also explains the need of such kind…
Music Genre Classification Using Lyrics
Classification of music is a very important and heavily researched task in the field of NLP. Previous research in this field has focused on classifying music based on mood, genre, annotations, and artist. All the approaches either used audio features, lyric as text or both in combination.
Music Genre Classification Using Audio Signals
This project had an objective to perform a machine learning approach to classify a song based on it’s audio features. This approach can also be used for recommendation purposes on a huge scalable system. Music genres are hard to systematically and consistently describe due to their inherent subjective nature. This project uses a small dataset…
Big Data & Hadoop Framework
In this paper, we describe Big Data and open source framework Hadoop. The statistics are provided, explaining formation of Big Data and the importance of analyzing it. Big Data possess many problems in the real world scenario due to it’s vast size, velocity and variety. Several techniques are developed to process Big Data. Hadoop framework…
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Kartik Prakash 