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My main job is related to mobile advertising, and from time to time, I have to work with mobile application datasets.
I decided to make some of the data publicly available for those who want to practice building models or get an idea of some of the data that can be collected from open sources. I believe that open-source datasets are always useful as they allow you to learn and grow. Collecting data is often a difficult and dreary job, and not everyone has the ability to do it.
Big Data, an accelerating trend, is penetrating in various industries. To automate the systems and eliminate the need for human power, the need is for diverse data that comprehensively covers all possible aspects of human behavior and actions. The world is getting digitized faster than the normal pace. There are several challenges in the way. For instance, the digital world demands robust processing and security. These attributes vary from niche to niche. The challenge is to maintain a balance between both of them and smoothly perform digital processing.
To automate the online systems, advanced technologies and algorithms are applied. For example, the automated chatbots integrated with the online systems tend to communicate with the customers without any assistance from the human query handler. In these chatbots, abundant data is used to train them against online queries. The data includes frequently asked questions and some queries other than normal ones. A diverse dictionary is embedded in the models to train as well as test them.