User Manual - ODU Computer Science
Contents
1. Lab 4 User Manual Red Team April 29 2013 Version 2 Table of Contents Startup Screen Dustin Patrick 0000000000ssssssnnnnnnnnunnnnnsssssssnssnnssnssnnse CEPTO OC asta sat wena A E E LOA PO ee een Project Preview Screen Scott Minter ssssssecccoosssssececcccossseseecoocsssssseeeeoso Results Screen Brittany Johnson eessscsssssseeccccocssssccecoccosssssceceossosssseceeoso Menu Bar Erik Rosers euren ea apatia 1 Bart SEEN een hei ee Ne IRAN ee ee ECE PA aria cass EEE esd ag sedan ce ast E EE ees Pre 3 rente BT CON ea euere ee ee Jae ak ne A Dre a gt ONE EN ER ER ee een nee ne mene ree eee ee De ee Figure 9 After A Document Has Been Added ceessssessssseeeeeeeeeeeeees PIE WITT BET een een Figure IL ee anne Bee L Project aa ne 1 1 WEBBARBREPEERRENAEBR PER AEEENEFEUHEBRFEEFEERERRERAEERFERFEERUERERRERE Figure 13 Top Results 2 10 501000cas0cicdedcacesaanteaseanazadecacnssesadaduacsaaanteaseaanzadecaaan s Figure 14 Word Gian ai Weiche nenne Figure 15 Recomposed I eesriie rier sinr Een i Eo EE r r Figure 16 Key Relationships This space intentionally left blank Startup Screen Dustin Patrick LASI is a tool for parsing up to five documents for important words and phrases based on meta analysis of all documents The start up screen is the first thing you see when you open the program It will load with a Windows 8 style window screen Figure 1 where the window2. Document Browse Create Cancel Figure 7 Location Space intentionally left blank Create Create New Project ne one ne Name Location ers Dustin Documents LASI Proiects Browse Document Browse Create Cancel Figure 8 Document Space intentionally left blank Create New Project 00 90 290 Name CAUsers Dustin Documents vadoc txt Location ers Dustin Documents LASI Proiects Browse Document Browse Create Cancel Figure 9 After A Document Has Been Added Space intentionally left blank Create AS cm Create New Project ne one ne Name Location ers Dustin Documents LASI Proiects Browse Document Browse Create Cancel Figure 10 Create New Project Space intentionally left blank x Create AS a Create New Project ne one ne Name Location ers Dustin Documents LASI Proiects Browse Document Browse Create Cancel Figure 11 Cancel New Project Load Project This feature has not yet been implemented However it will contain a similar text field associated with a browse button that will allow you to browse your computer for a file created by exporting the results of LASI analysis to a file Space intentionally left blank Project Preview Screen Scott Minter The project preview screen allows the user to preview the documents they have loaded into aLASI project A screen sho
3. primarily deals with parts of speech The individual words will be colorized based on their parts of speech as well as having a link between individual words to show the links between them The last type of results will show the word counting and weighting of each of the words As shown in Figure 1 1 C below this will just be a simple table with the ability to change the order in which the results are displa yed The word count and weighting displayed in each individual document This allows the user to look at each document separately to see they affected the overall results Word counting and weighting will also be able to show the words that were common throughout the documents analyzed and the individual weights that were placed on those words Another important feature that LASI will provide is the ability to print and export the results The results will be exportable in a multitude of formats including but not limited to pdf jpg and ppt LASI has been designed to runasa standalone text analysis engine As such it will be able to run on business grade laptop and desktop computers as well as high grade consumer PCs Roughly speaking a quad core processor 8 gigabytes of low latency DDR3 SRDAM anda solid state based storage medium comprise the hardware requirements During the initial phase of analysis the primary focus will be to build a textually agnostic set of associations based on the determined part of speech for each token ina document At this relatively low l
4. the subjects or objects of that verb phrase if it has one Top Results Word Count and Weighting Recomposed Documents Key Relationships 411writtensumma ry2 7 Fr 3 Key Subjects in 411writtensummary2 co es co N co w Figure 13 Top Results Finally there is the Key Relationships tab Figure 16 This tab will display Subject Object Verb relationships which analysis have shown to be important Currently the longer the document the better the results will be in this tab Space intentionally left blank Top Results Word Count and Weighting Recomposed Documents Key Relationships 411writtensummary2 Weight 100 000 LASI I E Weight 86 992 documents Weight 86 179 themes Weight 83 740 files Weight 82 927 users Weight 82 927 results y Weight 82 927 AID Weight 82 927 verbs Weight 82 114 Themes Weight 82 114 System Weight 82 114 analyzes Weight 82 114 algorithms Weight 82 114 Users Weight 82 114 assumptions Weight 82 114 tabs Weight 82 114 deals Weight 82 114 formats Weight 82 114 pdf Weight 82 114 jpg Weight 82 114 ppt Weight 82 114 SRDAM Weight 82 114 associations Weight 82 114 Fir Weight 82 114 pronouns Weight 82 114 constructs Weight 82 114 entities Weight 82 114 abstractions Weight 82 11
5. 4 NCSOSE Weight 82 114 groups Weight 82 114 domains Weight 82 114 subjects Weight 82 114 keywords Weight 82 114 errors Weinht 27114 narcinn Figure 14 Word Count and Weighting Top Results Word Count and Weighting Recomposed Documents Key Relationships 411writtensummary2 I F 9 LASI stands for Linguistic Analysis for Subject Identification Linguistic Analysis Lz near ihe contextual study Written works 1 how the words combine to form and overall meaning LASI will be a decision support tool that will take in multiple documents of varying file types and return a weighted list of themes common to all Themes are important because they help the reader to comprehend what has just been read Then if they can comprehend what was read they can also summarize the material Comprehension and summarization are important because together they help the reader to communicate the content of the material with other people Our general societal problem is that it is difficult for people to identify a common theme over a large set of documents in a timely consistent and objective manner This societal problem comes from Dr Patrick Hester who as part of his position at NCSOSE National Center for System of Systems Engineering analyzes large sets of documents to identify common themes and ideas This document analysis process as it stands is lengthy requires validation from his associate Dr Meyers
6. and also requires multiple readings of the documents LASI would assist him in this document analysis phase by cutting down on the time spent reading through the documents LASI will provide him with a weighted list of potential themes from which he can choose the one he feels best fits his understanding of the material For LASI to effectively resolve our societal problem and more specifically assist Dr Hester and Dr Meyers it will need to accurately find themes be system efficient and provide consistent results 2 This product is designed as a self contained stand alone application to be run on a local machine such asa desktop or laptop It will assist users in determining themes and general meaning across multiple documents LASI will provide consistent timely results using its engine of algorithms LASI will also havea friendly and intuitive user interface Users should be able to use and navigate the program without much formal training After an analysis of a set of documents the resulting data should be immediately available in a friendly usable format This will allow any user to not require a degree in computer science and English to use the product LASI will be able to take in multiple documents and figure out the common theme between all of the documents added to the project A new document can be added to the project at almost any time except when the project is compiling This allows the user to tweak the documents that are in the project when need
7. can be moved by clicking anywhere that is not a button and dragging the screen to the desired location It has a minimalist design that contains a graphic banner containing the name of the program and an image of a silhouette of a collie The start up screen only contains three buttons From this screen you can create a new project or load an existing project Clicking on either the Create button Figure 2 or the Load button Figure 3 will expand the start up screen to allow you to create a new project In the current version of LASI the load project button does not have any function In future versions the user will be able to load saved LASI projects There is also an X button Figure 4 at the top right corner of the application that terminates the program when clicked Create Load Figure 1 Start up Screen Create Load Figure 2 Create Create Load Figure 3 Load Space intentionally left blank Create Load Figure 4 X to close Create Project The Create Project screen Figure 5 will provide a text field to name your project called Name Figure 6 Next there is a browse button Figure 7 to allow you to select the destination folder for the project called the Location Finally there is a text field connected to a browse button called Documents Figure 8 where you can find and add documents to the project A list of already added documents will b
8. e displayed on the right Figure 9 of these options You can remove documents from this list Once you add five documents the Documents field will be grayed out and you will no longer be able to add documents If you attempt to name a project the same name as another project a message will be displayed that indicates that you can not do that If you attempt to use a location on your computer that has already been created by another project a message will display indicating that you can not do that If you leave any of the fields blank or don t select any documents the application will point out which fields need to be filled out before you can create a project You can also select Create Figure 10 or Cancel Figure 11 which are located below the Name Location and Documents fields Create will take you to the project preview screen Cancel will return you to the start up screen Create Load Create New Project in one ne Name Location ers Dustin Documents LASI Proiects Browse Document Browse Create Cancel Figure 5 Create Project Space intentionally left blank Create Create New Project ne one ne Name Location ers Dustin Documents LASI Proiects Browse Document Browse Create Cancel Figure 6 Name Space intentionally left blank Create Create New Project ne one ne Name Location ers Dustin Documents LASI Proiects Browse
9. ed There are also a few advanced features that LASI will include that make it stand out from the crowd Before running the project you can decide on the type of analysis that you would like LASI to perform whether it is scientific or literary LASI will have the ability for the user to input words as a dictionary If there are any company specific jargon that would make LASI s ability to parse documents easier the user will be able to build a dictionary for that project As another advanced feature the user will be able to start the project off with assumptions about the contentIf the user knows that certain words or phrases are equivalent then those can be specified before the project is compiled This would help lower the time that LASI takes to go through all of the documents One of the most important features of LASI is the ability to view the outputted results in an easy to view format The results will be separated into 3 sections easily navigated by tabs The first tab will be the Top Results This will provide a graphical representation of the most likely themes for the documents analyzed As shown in figure 1 1 A below the top results will be pictured in a tornado chart listing the top 10 themes from most likely to least likely with their associated weights The user also has the option to change the type of chart the information will be shown in The second type of results shown will be the word relationships in each individual document The word relationships results
10. evel of abstraction the document will be represented by a text wise linear collection of role specialized word objects where each corresponds to a text token and an inferred part of speech Through this a frequency assessment of the words will be used to determine an initial naive significance metric for each usage of each word After the initial assessment this naive metric will be refined through 2 syntactic association procedures Firstly binding instances of pronouns with to the nouns they refer to will significantly increase the accuracy of the noun significances determined during the initial phase Further by binding adjectives to the nouns they describe we begin to associate adjective counts to specific noun instances Both of these procedures are significant in that they begin the process of associating together the linear text inta canctricte there thau hanin rairinn the laual af ahetrartinn fram inAinanlssal winds ta intar winrel ralstinnchine Eram hara wa will hanin ta hind euihiart and chiert antitiar tn aarh nthar hu wawu nf Figure 15 Recomposed Document Top Results Word Count and Weighting Recomposed Documents l Key Relationships 411writtensummary2 li 4 D Subject Verbial Direct Indirect il i will be low as well as high grade consumer PCs it This societal problem analyzes 5 my intuitive ways pop up bubbles Export Figure 16 Key Relationships S
11. pace intentionally left blank Menu Bar Erik Rogers In the current version of LASI the only item in the menu which functions is the File gt Exit option Below is a list of the menu features which will be implented in future version of LASI File New Use this selection to either create a new Project from scratch or to create a new parsable File to add to your current project You will be prompted to save your Project or File Once saved you can use the Open feature to retrieve the Project or File n the future Open Use this command to open a previously saved Project or parsable File You will be prompted to find the location of said Project or File Add Use this command to add a pre existing parsable File to your current Project You will be promoted to find the location of said File Save Project As Use this command to save your current Project to a specific file name or in a new locat on Save Project Use th s command to save your current Project Exit Use this command to end your LASI session If any unsaved changes have been made to your current Project you will be prompted to save them
12. re 12 Project Preview Screen In Progress Screen Erik Rogers Once you have clicked I gt Start the Project Preview Screen will close LASI w ll begin analysis and you will be redirected to the In Progress Screen The function of this screen is to provide you with up to date information on how far along the analysis process LASI currently is The In Progress screen consists of a Progress Bar Moving Paw Prints Minimize and Close buttons as well as a Proceed button Progress Bar Located at the bottom of the screen and spanning the entire width of the window is the Progress Bar When LASI first beings analysis this bar will be completely empty representing 0 progress As LASI crunches away the bar will begin to fill When the bar is filled completely representing 100 progress analysis 1s complete and your results are ready to view Just above the progress bar off centered to the left text will be displayed in order to keep you updated on the current state of analysis When this display says Complete analysis is complete and your results are ready to view Moving Paw Prints Along with the LASI logo comes a trail of animated paw prints The moving paw prints are there to show the user that LASI has not frozen and that analysis is still in progress Minimize Button Located at the top right of the screen is the Minimize Button This button containing a horizontal line segment that resembles a dash or under
13. score will minimize the In Progress Screen Minimizing the screen will compact and return it to your Windows task bar Close Button Located at the top right of the screen is the Close Button This button containing an x or across will terminate the analysis and close LASI including your current Project and all Files associated with it Allunsaved changes or progress will be lost Proceed Button When analys s s complete the Progress Bar s full and the state status text reads Complete a button containing the text Proceed will appear just above the Progress Bar on the right side of the screen This button signifies that your results are ready to view Use of this button will terminate the In Progress Screen and redirect you to the Results Screen Results Screen Brittany Johnson The Results Screen contains four main tabs which will display the results from the analysis in different ways The first is the Top Results Figure 13 tab which will contain the top results for nouns identified as important in chart forms The next tab 1s the Word Count and Weighting tab Figure 14 This will dislay the exhaustive list which composes the Top Results tab including the words and their respective weights Then there is the Recomposted Documents tab Figure 15 This shows the relationships between words n the entire document Currently f you hover over a verb phrase and right click It will display an option to view
14. t Figure 12 has been provided so you may see where the items being discussed here are located The text of each document can be previewed by clicking on the tab ofthe same name Ifa document or multiple documents up to five need to be added to the project you may add them by clicking the button and selecting the document you wish to add from your PC Likewise if documents need to be removed from the project you may remove them by clicking the button while the tab of the document you wish to remove is selected If you wish to go back to the previous screen you may do so by pressing the lt button If you are satisfied with the documents in the project and wish to start analysis pressing the I gt Start button will start analys s on the selected documents TestSentences5 TestSentences2 ALACA This set of graphs shows variation in the amount and the depth of water detected beneath NASA s Mars rover Curiosity by use of the rover s Dynamic Albedo of Neutrons DAN instrument at oS different points along the distance the rover has driven in meters ot DAN detects even very small amounts of water in the ground beneath the rover primarily water bound into the crystal structure of hydrated minerals The bottom graph indicates that the water content of the top 2 feet 60 centimeters of the ground at points in the Yellowknife Bay area where DAN has taken measurements is estimated at about 3 percent Figu
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