UC Relationship BW Naïve Bayes and Bayesian Networks Discussion and Responses
Task1:Discussion 2 (Chapter 6): List and briefly describe the nine-step process in con-ducting a neural network project.
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Task2:Discussion 1 (Chapter 5): What is the relationship between Naïve Bayes and Bayesian networks? What is the process of developing a Bayesian networks model?
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each 150 .. 2 student posts naveen-In natural language processing, NLTK comes as the lead framework for making the analysis. One of the main advantages of working with it is the fact that it contains numerous methods developed primarily for language processing. Moreover, the framework is available on open platforms with numerous people who offer free support and maintenance (Loper & Bird, 2002). The framework contains all the functions for all processes from tokenization, classification, tagging, sematic reasoning, stemming as well as parsing. In case the users are stranded, it contains an open discussion platform where users can help each other where they are stuck.The framework has as well as written documentation that is easy to comprehend despite the IT background one has. For instance, doctors, trainers, students, as well as researchers, can utilize it to gain meaningful insight into the natural language around them (Wagner, 2010). It can operate in most of the common operating systems such as windows, Linux as well as mac os.Text analysis mainly involves analyzing text to get more information or hidden patterns of data within them.Given that more and more data are being collected on a daily basis where most of it is in text, text mining has become a common tool to the analyst in extracting valuable information (Bengfort, Bilbro & Ojeda, 2018). Some of the methods used in text analysis include sentiment analysis, translation, and keyword extraction. Both NLTK and text analysis are useful and are very capable in the analysis of text data.Vamshi-NLTK is the leading platform for building Python programs to be in a position where they can work with human language data. It is a platform that provides easy-to-use interfaces to different resources such as WorldNet. It supports tokenization, stemming, classification, as well as semantic reasoning functionalities. Natural language has made it easy for humans and machines to communicate effectively. The platform has been proved to be effective, which is the reason why one needs to understand how to utilize this program for better human-machine interaction. The program is available for Linux, Windows, and Mac OS X. Natural language took kit has been referred to as an excellent tool for teaching since it has the ability to working in using Python. Its primary role is to support learning in various institutions across the globe (Robinson, Aumann & Bird, 2007). The platform is available to all, and it is also easy to use.Text analysis refers to the process of understanding and sorting unstructured texts into a structure that is clear and easy for everyone to understand. The use of text mining is growing at a significant rate, and this as a result of its role in understanding unstructured texts. There are various text analysis methods, and they include natural language processing algorithms that help in identifying the names of individuals in a given text. Through this method, it is easy to apply network analysis to study how people are connected (Nelson, Burk, Knudsen & McCall, 2018). Computing world frequencies is another method that has been identified for process analysis, and this is meant to make it possible for one to identify the number of words in a given column and raw.