SentimentAnalysis is the study area in NaturalLanguageProcessing (NLP) that is concerned to identify the mood or opinion within the text. This paper emphasizesthe different methods utilized for classifying the natural language text reviews in accordance with opinions expressed inthetext toanalysewhether the extensivebehaviouris negative, positive or neutral. The abundance of discussion platforms, Weblogs, product review sites, e-commerce,and social networking sites have encouragedastream of thoughts and articulation of opinions.Social media is seen as a great platform for sentiment, criticism and opinion evaluation. The data used in this study are online product reviews collected on Twitter and used to rank the best sentiment classifier.

Karnataka “one state many worlds” is recognized world-wide because of its both nature and human effort have combined to make Karnataka a tourism paradise, which has visitors throughout the world, However, being an alien in Karnataka, they face some challenges during residing in the state such as lack of getting language and transport information. For meeting up some of the requirements by the travelers, we have come up with an online solution by developing android application.​

Karunaadu1.0 is a Tourism Guide android Application which focuses on tourists and the basic futures required for them. It provides an attractive user interface which also very easy to understand and use it.The home page gives the basic text information or the introduction of the state, a list of options is given in the navigation drawer, instead of reading text same people prefer visual information so an intro video of the state is also provided. For the detailed information on the state is given in the Places Module which contains the list of places worth visiting are classified as per districts, a map navigation facility is also provided by using Google Maps, the user can share this application and give Feed back to the Developers.

TheSocio Networkproject is a forum which aims to provide solutions to challenges (general queries) posted by a registered user. It has a registration module to register the users who like to post challenges and get solutions from other registered users from the forum. It contains registration module, login module and post a challenge module. The usergetsregistered to the forum through registrationmodule,the registered usergetsin tothe forumthrough login module and the registereduser canposttheirqueries and get the solutions through challengemodule.

Technologies Used:JDK 1.8, Tomcat 6.0.32, Log4J, Ant, Spring, Hibernate, Apache Tiles, DWR.

Team Size: 5

Roles and Responsibilities:

✓Worked on Business layer to generate tokens and to encrypt the password using SHA algorithm.

✓IntegratedCoberturareporting tool using Ant.

✓Worked on DAO layer to persist object using Hibernate.

✓Written Stored Procedures.

✓Worked on DWR to check the uniqueness email id and to validate date of birth.

Currently Working Academic Project