Tag : Big Data

The sentiment is an attitude, thought or your verdict which comes from feelings. So, the sentimental analysis is the study of the user’s sentiments towards any certain entity, any organisation, and celebrity or regarding any product. Due to the rapid increase in digital technology, the internet has become the cheapest resource to anyone where they can easily put contents, blogs, posts, news etc. by using social media platforms like Facebook, Twitter, and LinkedIn.

Sentiment is an attitude, thought or your verdict which comes from feelings. So, sentimental analysis is the study of the user’s sentiments towards any certain entity, organisation, or any product. Due to rapid increase in digital technology, internet becomes a cheapest resource to anyone where they can easily put contents, blogs, posts, news etc. by using social media platforms like Facebook, Twitter and LinkedIn.

Big data refers to the growth in the volume of structured, unstructured & semi-structured data. The speed at which it is created and collected and the scope of how many data points are covered. Big data often comes from multiple sources and arrives in multiple formats.

Streaming data analysis has attracted attention in various applications like financial records, data analysis, etc. Such type of applications require continuous storage of large amount of data in data warehouse while simultaneously providing quick response time for the queries against the data that is stored in the system. The duration of fetching data varies depending on type of data required from the system. This article presents the performance estimates in terms of MySQL Partition, Hive partition-bucketing and Apache Pig framework. In this article, big data Eco systems and comparative performance analysis of frequently used data retrieval techniques such as MySQL, Hive and Pig are described. From the work presented in the article, it is concluded that the execution time for extracting data becomes very large with growth in data size, particularly in case of MySQL. As compared to MySQL, Hive and Pig takes less time and give better results.

Sentimental analysis means to check the taste, views and interest of people regarding celebrity, politicians or some other topic. Basic thing in sentimental analysis is to classify their mood in different category like positive, negative and neutral. For example Analysis of “Our Prime Minister Sh. Modi ji” how people think about him? Whether they think positive, negative or somewhere in between them. we present a comparison between two different frameworks R and Rhadoop on the basis of architecture and performance evaluation. Rhadoop is a popular statistical programming environment with HDFS, which is a standard file system for storing large data. This article includes the methodology of sentimental data Analysis using R and Rhadoop technology.