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This paper is a literature survey about applications of textual analysis. It aims to provide brief description about the common textual analysis applications. The paper talks about the dictionary which is mostly, one of the main components for textual analysis applications. The paper highlights a number of related examples that were proved in previous published papers. Common features for the related examples are illustrated. And their results are discussed. It will be shown that "morphological and syntactic analysis" is a proved approach. Also, it will be shown that text similarity based on "morphological and syntactic analysis" approach has more accurate results than text similarity based on semantic approach.

The current study primarily aims to develop a dictionary system for tracing mobile phone numbers for call centers of mobile communication companies. This system tries to save the numbers using a digital search tree in order to make the processes of searching and retrieving customers’ information easier and faster. Several shrubs that represent digits of the total phone numbers will be built through following the phone number digits to be added to the dictionary, with the owner name being at the last node in the tree. Thus, by such searching process, every phone number can be tracked digit-by-digit according to a required path inside its tree, until reaching the leaf. Then, the value stored in the node, that represents the name of phone number’s owner, is returned. Consequently, the amount of memory required to store data will be reduced and data retrieval will be faster.

There are significant developments in the field of remote sensing, communications, and control in the world today. The Internet of Things (IoT) is the result of cooperation between them. It is a system of interconnected computing devices, mechanical and digital machines, and things that are capable of sensing and are able to communicate with each other and with machines linked to a network intelligently to take advantage of the data collected through the sensors imbedded into devices. The resulting data can be collected and analyzed in order to reveal insights and propose measures that will produce cost savings, increase efficiency or improve products and services. As IoT is expected to grow and spread rapidly in the coming years, this will improve the quality of consumers' lives and productivity of enterprises. The future is the IoT, which will change the real world objects to smart virtual entities. It is one of the platforms of smart modern cities and intelligent power management systems. This research aims to provide a comprehensive review of the IoT, its main components, and architecture, along with its applications, features and challenges.