Analyse Open-Ended Survey Responses in Finnish
Concept Network- Plot comparison Concept Network
Concept Network - Get TextRank edges
Concept Network- Get unique nodes from separate top n-grams tables
Concept Network- Get unique nodes from a list of top n-grams tables
Concept Network - Get TextRank nodes
Plot Concept Network
Concept Network - Search TextRank for concepts
Make comparison cloud
Concept Network- Compare and plot Concept Network
Concept Network - Make Concept Network plot
Get available Finnish stopwords lists
Annotate open-ended survey responses in Finnish within a svydesign o...
Annotate open-ended survey responses in Finnish into CoNLL-U format
Compare and plot top words
Make Top Words plot
Make Top Words Table
Find and Plot Top Words
Get unique n-grams from separate top n-grams tables
Get unique n-grams from a list of top n-grams tables
Merge N-grams table with unique words
Compare response lengths
Make Length Summary Table
Plot comparison n-grams
Compare and plot top n-grams
Make N-grams plot
Make Top N-grams Table
Make Top N-grams Table 2
Find and Plot Top N-grams
Compare parts-of-speech
Make POS Summary Table
Read In and format Finnish survey text responses from svydesign obje...
Read In and format Finnish survey text responses
Find treebanks available for use
Remove Finnish stopwords and punctuation from CoNLL-U dataframe
Make comparison summary
Make Simple Summary Table
Make Summary Table
Add svydesign weights to CoNLL-U data
Make Wordcloud
Pipe operator
Run Shiny App Demo
Annotates Finnish textual survey responses into CoNLL-U format using Finnish treebanks from <https://universaldependencies.org/format.html> using UDPipe as described in Straka and Straková (2017) <doi:10.18653/v1/K17-3009>. Formatted data is then analysed using single or comparison n-gram plots, wordclouds, summary tables and Concept Network plots. The Concept Network plots use the TextRank algorithm as outlined in Mihalcea, Rada & Tarau, Paul (2004) <https://aclanthology.org/W04-3252/>.
Useful links