-
Notifications
You must be signed in to change notification settings - Fork 44
Citations, Reports, and Blogs Citing qdap
Tyler Rinker edited this page Jan 9, 2019
·
76 revisions
- An experiment on gesture and fluency in two German schools
- Fighting fire with fire: Mainstream adoption of the populist political style in the 2014 Europe debates between Nick Clegg and Nigel Farage
- Does working memory enhance or interfere with speech fluency in adults who do and do not stutter? Evidence from a dual-task paradigm
- Exploring Social Representations of Adapting to Climate Change Using Topic Modeling and Bayesian Networks
- Gender Prediction Methods Based on First Names with genderizeR
- Digital arts: Visibility and positioning A Franco-German comparison
- A Study of the Acquisition of Competitive Information in Business Simulations
- The Dynamics of Emotions in Online Interactions
- Classification with Unstructured Predictors and an Application to Sentiment Analysis
- Consumer Reviews for Market Structure Analysis: A Text Mining Approach
- Crime Prediction Using Twitter Sentiment and Weather
- Noisy Candidates and Informative Politicians: Analyzing Changes in Tweet Behavior Using Tweet Quality Assessment Framework
- Resampling Approaches to Improve News Importance Prediction
- Quantifying Mood, Content and Dynamics of Health Forums
- When Less Can Be More: Dual Task Effects on Speech Fluency
- Vowel Space Area in Later Childhood and Adolescence: Effects of Age, Sex and Ease of Communication
- Democratization and Linguistic Complexity: The Effect of Franchise Extension on Parliamentary Discourse, 1832–1915
- Determing Trustworthiness in E-Commerce Customer Reviews
- Socially Driven News Recommendation
- The Emergence of Rhythmic Strategies for Clarifying Speech
- An Overview of Free Software Tools for General Data Mining
- Hands-On Data Science with R Text Mining
- "PubMed Commons": Description and Analysis of PubMed's new commenting system
- Modeling the Dynamic Interrelationship Between Party Elites, Media Coverage, and Public Opinion During the Invisible Primary
- Socially Driven News Recommendation
- Advances in Intelligent Data Analysis XIII
- Social Media Mining with R
- Forecasting Canadian Elections Using Twitter
- New Media Solutions in Nonproliferation and Arms Control: Opportunities and Challenges
- Determing Trustworthiness in E-Commerce Customer Reviews
- Text Mining in R
- Introduction to R
- Monitoring Data Consistency in OpenStreetMap Using Its Spatial Features and Tags Semantics
- Guest Talk for Data Society's "INTRO TO DATA SCIENCE BOOT CAMP"
- Make Text Mining Great Again
- Trump and Clinton Speeches, Step 2: Trump is a Negative Sophomore and Clinton is a positive one!
- How to parse Evernote export files (.enex) using R
- Sentiment Analysis and The “Black Lives Matter” Movement
- Red Campus, Blue Campus
- Text Mining in R - Part 6
- Function in R for Word and Line Count Table
- Forecasting Votes in Hellerstedt
- What do they think?: An opinion mining Shiny web application
- How to Search PubMed with RISmed package in R
- Natural Language Processing in R: Duquesne Economic Senior Theses
- What mining my own emails told me about myself
- How unreadable are James Joyce's novels?
- Counting Questions in Vialogues Conversations
- Statistics meets rhetoric: A text analysis of "I Have a Dream" in R
- Mining the last French presidential debate
- (de)Coding Advocacy: An Introduction to Informatic Analyses of Oral Argument
- How Californians reacted to the Brazil vs. Germany game
- Texas Football Fan Sentiment Analysis During Valero Alamo Bowl
- Sentiment Analysis of NBA AllStar 2014
- Hola, me llamo R: Spell Check for R
- Data Exploratory
- Where Are Those Knights?
- Natural Language Processing in R: Duquesne Economic Senior Theses
- Deleted congressional tweets: the R code
- It's All in the Fine Print: Understanding Drug Commercials
- Text Analytics Part VII – Sentiment Analysis using R
- How are you feeling..? – Election 2015 07 May 15
- Deleted congressional tweets: the R code
- Finding Spatial Patterns in Twitter using ArcGIS, Python, and R
- It’s all in the fine print: Understanding Drug Commercials