A Survey on Analysing Students Learning Experiences by Extracting Data from Social Media (Social Forums)

There are various online networking sites such as Facebook, twitter where students casually discuss their educational experiences, their opinions, emotions, and concerns about the learning process. Information from such open environment can give valuable knowledge for opinions, emotions and help the educational organizations to get insight into students' educational life. Analysing down such data, on the other hand, can be challenging therefore a qualitative research and significant data mining process needs to be done. Sentiment classification can be done using NLP (Natural Language Processing). For a social network that provides micro blogging services such as twitter, the incoming tweets can be classified into News, Opinions, Events, Deals and private Messages based on authors information available in the tweets. This approach is similar to Tweetstand, which classifies the tweets into news and non-news. Even for e-commerce applications virtual customer environments can be created using social networking sites. Since the data is ever growing, using data mining techniques can get difficult, hence we can use data analysis tools.