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Category: Lab 3: Text Analysis

26MarMarch 26, 2017
By tforgion

Lab 3 Pitchers and Catchers

The third lab utilizes Voyant to examine word trends and popular words used in the tweets that we find. At this time, we are preparing for spring trai

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Posted in Lab 3: Text Analysis Leave a comment
03Mar
By gtyler

Textual and Visual Analysis of #ISIS

Given my maps and analysis of my tweets, I expect the topics of my tweets to cover terrorism and violence in the Middle East, as well as some politici

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Posted in Lab 3: Text Analysis 3 Comments
03Mar
By norourke

48 Hours of #muslimban

I chose to narrow my data to the days following the muslim ban. I then further narrowed my data by breaking it up to every 6 hours.Through my data I a

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Posted in Lab 3: Text Analysis 2 Comments
03Mar
By jpolitz

Black Lives Words Matter

Today we are looking at #BlackLivesMatter tweets posted on February 22, 2017 to February 28, 2017. On February 26, 2012 17-year-old Trayvon Martin was

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Posted in Lab 3: Text Analysis 2 Comments
03Mar
By gwarnock

“Time is a flat circle”, the #standingrock story

I am hoping to see text analysis in support of Standing Rock, containing words like water, tribal, rights, life, and even action words like standing a

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Posted in Lab 3: Text Analysis 2 Comments
03MarMarch 3, 2017
By mkendri2

Terms related to #ThisIsNotNormal

[iframe width="100%" height="520" frameborder="0" src="https://mkendri2.carto.com/builder/ff18229e-fe90-11e6-a089-0e05a8b3e3d7/embed" allowfullscreen

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Posted in Lab 3: Text Analysis 2 Comments
03MarMarch 3, 2017
By cdenny

Words behind Islamophobia

This week for my data, I chose to look at the last week of tweets. I hope that the tweets I see are positive and accepting of Islam rather than opposi

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Posted in Lab 3: Text Analysis 4 Comments
03MarMarch 3, 2017
By tseckar

What do you have to say about that?

Considering my research and the content of the tweets I have collected related to #keystoneXL, I am hoping to see words generally related to the resis

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Posted in Lab 3: Text Analysis 2 Comments
03MarMarch 4, 2017
By Jennifer K. Tran

What do they say? The War on Words at the Border

I predict that the the words Muslim, Syria, refugees and terrorists, as opposed to the words Mexico and illegal, will dominate the text analysis. More

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Posted in Lab 3: Text Analysis 1 Comment
02Mar
By ospoffor

Web of Words for #LGBT

Skimming my tweet's content, I expect to see a lot of words involving protecting and supporting trans people. Also, I except to see people tweeting ab

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Posted in Lab 3: Text Analysis, Uncategorized 2 Comments

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Data Driven Cultures
American Studies, Trinity College
Prof. Jack Gieseking
M/W. 10-11.15am
OffcHrs: W. 10am-1pm

Recent Posts

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