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Welcome to the SENTIMENTAL-ANLYSIS wiki!
Social Media Analytics has become an increasingly important topic as the various social media platforms make the consumers and common people to communicate with brands expand and to express their views on current and future trends. Social Media, together with the usability of mobile devices and the widespread availability of mobile internet, has given voice to the consumers not only to communicate with their grievances but also to the current trends. Social media has therefore, not only created a medium for the trend to connect with millions of people but also provides a channel to listen to all these people. Trend Analysis has moved from being a one-way to a bi-directional dialogue (between Generations to Generation). This trend can be found by interpreting volumes of data available on social media platforms. The answer to the challenges put forth by collecting data on social platforms is ‘social media Analytics’. These platforms sieve through bulk of data gathering meaningful insights and help generate reports to understand the trend and various aspects like people sentiments connected with the brand, determine personas etc. These insights help the peoples to make meaningful interpretation of the social data and take informed decisions.
The main aim of the project is to develop a social media analytics application which collect the social media feeds on a specified keyword in real time and analyzes of the sentiments of the data and provides aggregate results. This application shows the various analytical results of data collected the number of positive, negative and neutral feedback in timely basis. This application drill down the well-defined business module into simple statistical data which is available and usable for the common peoples (surface level analytics). It gives top influences of the current trends and also provides single dashboard to respond to people across various social platforms.
