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PLA is for every professor and advanced student in every country on earth. It allows the serious academic to ruthlessly slice through text and provide quantitative results of our studies. It helps to remove the bias of our cultural and educational past. PLA is for every human on earth. To help us understand our present and our history. To ruthlessly slice through a document and gather the evidence that its content reveals. Description . Theory . Features . Global Warming Sample Analysis PLA Brochures Manuals Purchase Download Other Tools Search and Mining Fuzzy Mining Tool General Document Analysis Medical Transcript Analysis Specification Analysis Tool Plain Language Analysis Tool Legislative Analysis Tool Constitutional Analysis Tool Legal Document Analysis Support Template Suggestions Support Engine Suggestions Alternative Application Requests Description PLA allows a user to analyze legislation, constitutions, studies, and any other document you can imagine and first make it clear, concise, and unambiguous using the Plain Language technique and second analyze it for major themes. Its powerful mining techniques are based on predefined and user rules that can be saved as templates to support any future analysis. PLA is a method and tool that allows you to create your own document analysis rules. Embedded within PLA are certain fundamental principals such as services and layering of services from simple to complex. This principal allows the tool to immediately provide results to you as you change the rules to fit your studies and needs even if it is just creating by-laws for a

Summarise and extract insights from high-volume unstructured data, is an ideal tool for the task.Text mining technologiesTo get from a heap of unstructured text data to a condensed, accurate set of insights and actions takes multiple text mining techniques working together, some in sequence and some simultaneously. The text data has to be selected, sorted, organized, parsed and processed, and then analyzed in the way that’s most useful to the end-user. Finally, the information can be presented and shared using tools like dashboards and data visualization.Here are a few of the text mining techniques currently in use.1. Information retrievalInformation retrieval means identifying and collecting the relevant information from a large quantity of unstructured data. That means identifying and selecting what is useful and leaving behind what’s not relevant to a given query, then presenting the results in order according to their relevance. In this sense, using a search engine is a form of information retrieval, although the tools used for linguistic analysis are more powerful and flexible than a standard search engine.Information retrieval is an older technology than text mining, and one that has been brought up to date in order to act as a part of the text mining process. In information retrieval for text mining, relevant information has to be identified and organized into a textual form that retains its meaning, while at the same time being compatible with linguistic processing by a computer.That may involve the removal of ‘stop words’ – non-semantic words such as ‘a’ ‘the’

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