Facebook Data Analysis Can Really Help Deal With Hate SpeechPosted by articlelink01 on July 28th, 2015 Facebook was among the first social media to appear to the world. Like any other social media, Facebook has had an upsurge in the number of people who signing up. Increase in the number of people leads to an increase in the amount of data that conveyed through the Facebook servers. It also leads to use of informal language which makes it a little bit difficult to perform the data processing. However, it is not completely difficult since there are techniques for performing natural language processing that are being developed. Since Facebook has existed for more than a decade now, it has the highest number of users, to the tune of three billion. Therefore, it means if we can do natural language processing Facebook we can be many steps ahead since it could be possible get the meaning of such messages from a very large number of people. This field of natural language processing requires an expert in the field of machine learning together with vast knowledge in machine language translations, word sense disambiguation topic modeling and many others. Machine learning entails coming up with prior data which we refer to as training example. The system should be coded to learn from the data in the training sets and gain experience. It is then from this experience that the system can make decisions when similar data is fed into it. Currently, Natural Language Processing Facebook is not in operation, perhaps due to the privacy terms and conditions that are there in Facebook compared to other social networks like twitter which is entirely public. Social media analysis for PR should also be embraced in a special way possible. Like it? Share it!More by this author |