Category : M.Tech Thesis
Cloud computing is such kind of area which has opened new doors to everyone. This enables new types of services where the computational and network resources are available online through the Internet. Anyone who want to use it can pay and use online service. One of the most popular services of cloud computing is data outsourcing. For the reasons of cost and convenience, public as well as private organizations can now outsource their large amounts of data to the cloud and enjoy the benefits of remote storage and management.
Abstract. Steganography is a practice where some specific piece of information is kept hidden between the sender and receiver. The Information can be in any sort of forms such as an audio file, video file or some text message. The intended media where the information is required to be hidden can be some text file, audio file & video file. The main idea here is of hiding information within some other information in such a way that it is difficult or even impossible to find its existence in the information. Invisible inks, microdots, and many others are used by traditional methods. There are many different methods to use the concept of Steganography but the most popular one is digital images. The modern stenographic techniques make an attempt to exploit digital media images, video files, audio files, etc.
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.
Nowadays, people prefer electronic media and internet generated reviews for taking any sort of decisions. Sentimental Analysis helps to know about the real opinion of different people regarding specific product, company, movies, news, any object and their attributes. It includes number of different branches like natural language processing, machine learning, text mining etc. By using these techniques and models, data is classified in the form of news articles, blogs, tweets, online reviews etc. into the positive, negative or neutral sentiments. Facebook is a kind of micro-blogging social networking site consisting of billions of users in these days. we have used R studio environment that offers number of packages to analyse data, graphics designing etc. However, R language is mostly used for the statistical problems.
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