Category : Reserach Topic
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.
Social media is defined as a web based and mobile based Internet application which allows us to communicate with others. This yields to creation, access and exchange of the large user generated data which is easily accessible for everyone who want to do research in that area. Before social media we access blogs, news feeds, wikis all give the unstructured type of data which we access from the web.
Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn” with data, without being explicitly programmed The processes involved in machine learning are similar to that of data mining and predictive modelling. Both require searching through data to look for patterns and adjusting program actions accordingly. Many people are familiar with machine learning from shopping on the internet and being served ads related to their purchase. This happens because recommendation engines use machine learning to personalise online ad delivery in almost real time. Beyond personalised marketing, other common machine learning use cases include fraud detection, spam filtering, network security threat detection, predictive maintenance and building news feeds.
It has been observed that the autonomous vehicles (also called self-driving car, driver less car) are attracting people in this modern world. Their demands are increasing in the area of transportation and travelling facility. This paper describes how cloud and big data technology is related with self-driving car concept. This paper also presents the solution for storage of huge amount of data that is generated by sensor network of autonomous vehicles by implementing HDFS (Hadoop Distributed File System) an efficient storage mechanism of Hadoop platform. This paper describes how Apache Spark tool of Hadoop ecosystem family is used to process algorithms and maintain software’s in self-driving car. The proposed model provides fault-tolerant, highly availability of data and widely scalable system for the self-driving car.
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.
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