Journal of Data Mining and Knowledge Engineering ISSN: 3139-5341 (Online)

Abstract

This paper further enhances the techniques and chronological methods to perform the corresponding manipulation and further prediction analysis. We have acquired a real-time dataset based on the Twitter user's comments sections. The uniqueness of the dataset is that we have extracted only the particular comments which syntheses a particular word based on the product. Then further repetitive extraction is made to complete the dataset. Our dataset has three columns based on the ideology that the particular user or our focused subject has enhanced any detail about the product that we are observing. In this precise dataset, we have taken the subject about the usage of the product by the users that have been manufactured by the companies Google and Apple. Both technology giants have well versed their technology reign in this era, and they are further focused on their upcoming cyber projects, and their products will be more advanced in the future. As they are involved in further optimization in their devices and increasing their specifications. It would be a complex task to accomplish their project without the feedback, pros, and cons of their predecessor projects. They can extract such features from the Twitter API dataset, and they could further enhance their product. They could analyze the drawback, whether the product has reached the market and came out with success all type of this information can be extracted from social media instead of conducting a survey. Such a process would be a more hectic classification, and we cannot predict any accurate results. So we proceed with the social media Data mining Process. 

Keywords: - Twitter Data, Dataset, Data Mining, API, Analyze.