The Effect of Data Acquisition Techniques in Profiling Analysis Based on Twitter
Sumarni Adi, Anggit Dwi Hartanto, Ema Utami, Suwanto Raharjo, Irwan Oyong · 2019 International Conference on Information and Communications Technology (ICOIACT) · 2019
Twitter have a tremendous number of tweets from its user. The bigger of the data's volume and more complete the tweet's data that gathered, the more accurate the personality analysis will be. This study is sought to analyze and measure which acquisition technique that viable to be used on the personality profile analysis and to know whether the acquisition technique will always return a huge amount of data volume in a longer time period with a faster time or not. The most commonly used acquisition technique is crawling, streaming and scrapping. This study makes uses of those three acquisition methods to measure the compatibility toward the personality profile analysis. Based on the previous study, the usage of scrapping acquisition method is proved to be an arguably good method as it can acquire a more completed tweet data in a huge amount with bigger computation time and the acquisition time is faster. It caused by the big volume of the data and it need more computational time, so the acquisition speed of the tweet data is faster. Based on that result, scrapping technique is said to be a good option to analyze someone's personality profile.