Sentiment Analysis of Top Colleges

In the current era reviews, opinions play crucial role in planning sees from claiming clients and also influence us to the success of a brand, service of a product. The same also apply when deciding the best among various alternatives we have. For the approach and development about online networking in the world, stakeholders frequently take part in expressing their feelings looking into prominent social media, to be specific twitter. Same time twitter information may be greatly informative; it displays a test for investigation in light of about its humongous and disarranged way. The work in this report is to perform sentiment analysis on the top colleges in the country, considering the tweets from one of the social media named twitter. In the process of analysis many pre-processing techniques can be applied on the data that is generated by twitter, applying machine learning algorithms like KNN(K- nearest neighbors) to classify the best college among IITS, NITS and so on. By using Naïve Bayes and K-NN algorithms the results were generated in R Programming on the educational institutions. Then the results were measured in terms of accuracy with respect to Naïve bayes and KNN.