Analysis of College by using Data Mining

Since its been few years social media has captured the attention of the entire world as it is thundering fast in sending thoughts across globe, user friendly and free of cost requiring only a working internet connection. Only limit is internet connection to the users side. Opinion and reviews are the most critical factor in formulating views and influencing the success product or services. Though it is difficult to analyze these information based on opinion and reviews because of humongous or disorangized nature. With rapid growth in user of Social Media in recent years, the research get attracted towards the use of social media data for social media data for sentiments analysis of people or particular product or person or event. Many a times, people unknowingly misspell words which may take away the meaning of the sentence. The ubiquitous approach of replacing more than two occurrences of a letter with two occurrences of the same letter is not a complete solution as misspellings may occur from the users’s finger slipping to a nearby letter or the user’s spelling the word phonetically. Therfore the words have been corrected to the best possible effort by applying a probabilistic model based on Bayes’ theorem which shows roughly 86.67% accuracy. During this process enhancement of data has been done like removing of duplicate comment based on Bayes Theorem is used for spelling correction which is overlooked in other research studies.