Group Analysis of Team Proposal Using Textual Visualization Tools Lexos and Voyant
Students utilized the textual analysis tools of Lexos and Voyant to identify and analyze word frequencies, positive and negative correlations or juxtapositions of words across a collaborative document (i.e. a group proposal) in order to facilitate the revision process and to craft a singular, unified voice.
Overview
PLEASE NOTE: This assignment is equivalent in points to one Case Analysis (i.e. 25 points)
You and your group members will apply the analytical tools of Lexos and Voyant in order to effectively analyze a document you created -- namely, the team proposal submitted a few weeks ago. Similar to what we did in class with company documents, your goal is to engage in a new kind of close reading, a computational sweep for word frequencies and other measures of a single document in order to better understand similarities and differences in word choices across a document, frequency of words (which implies certain emphasis, or lack thereof), and the positive or negative correlations/juxtapositions of words throughout your proposal. The steps are outlined below. Please note, only one of your group members needs to submit the analysis; however, there are multiple components to this analysis (including screenshots of some of your outputs).
PART ONE (Lexos)
***Please take a screenshot of the K-Means Graphic to submit as part of this assignment***
***Please take a screenshot of the BubbleViz Graphic to submit as part of this assignment***
PART TWO (Voyant)
PART THREE (Discussion Questions)
You and your group members will apply the analytical tools of Lexos and Voyant in order to effectively analyze a document you created -- namely, the team proposal submitted a few weeks ago. Similar to what we did in class with company documents, your goal is to engage in a new kind of close reading, a computational sweep for word frequencies and other measures of a single document in order to better understand similarities and differences in word choices across a document, frequency of words (which implies certain emphasis, or lack thereof), and the positive or negative correlations/juxtapositions of words throughout your proposal. The steps are outlined below. Please note, only one of your group members needs to submit the analysis; however, there are multiple components to this analysis (including screenshots of some of your outputs).
PART ONE (Lexos)
- STEP ONE:
Using the Chrome or Firefox browser, OPEN the Lexos tools:
http://lexos.wheatoncollege.edu/
- STEP TWO:
CONVERT your
Team Proposal into a raw text file (i.e. open the document in Microsoft
Word or Pages), and "Save As" a Text or .txt file. Then, UPLOAD the .txt file to the Lexos tool.
- STEP THREE: Under the "Prepare" menu, select SCRUB using the settings shown below and then click APPLY SCRUBBING.
- STEP FOUR: Under the "Prepare" menu, select CUT; cut the document each into two (2) segments and APPLY CUTS.
- STEP FIVE: From the "Analyze" menu, select CLUSTERING, then K-MEANS CLUSTERING.
- STEP SIX: Change the number of clusters to four (4) and select GET K-MEANS.
***Please take a screenshot of the K-Means Graphic to submit as part of this assignment***
- STEP SEVEN: From the "Analyze" menu, select TOPWORDS; Turn off the Culling options (for now); Tokenize by I-gram by Tokens (Words); Select GET TOPWORDS.
- STEP EIGHT:
From the "Visualize" menu, select WORD CLOUD.
- STEP NINE:
From the "Visualize" menu, select BUBBLEVIZ.
***Please take a screenshot of the BubbleViz Graphic to submit as part of this assignment***
PART TWO (Voyant)
- STEP ONE: Using the Chrome or Firefox browser, OPEN the Voyant tools: http://voyant-tools.org/
- STEP TWO: UPLOAD the .txt file of your Team Proposal into the Voyant tool and select REVEAL.
- STEP THREE:
Take a SCREENSHOT of the output.
PART THREE (Discussion Questions)
- What words did you expect to find prior to your analysis, and were those expectations met? Explain.
- Were there some words that are missing, or are less frequent than you believe they ought to be? Discuss.
- Were there some words or clusters of words that you found surprising or interesting? Describe.
- Is there a shift in tone or the type of language used in the text, or is it relatively uniform throughout? Provide examples to support your answer.
- Based upon the analysis, what might be some elements of the proposal that you would revise if given the opportunity? Provide specific examples.
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ENG110 Introduction to Professional Writing, Spring 2018
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