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Objective
Our aim with this work is to create a reliable (e.g., passive voice judgments are consistent), valid (e.g., passive voice judgments are accurate), flexible (e.g., texts can be assessed at different units of analysis), replicable (e.g., the approach can be performed by a range of research teams with varying levels of computational expertise), and scalable way (e.g., small and large collections of texts can be analyzed) to capture passive voice from different corpora for social and psychological evaluations of text.



Single sentence analysis

Please enter your sentence in the box bellow:


Corpus-level analysis
Column Name Description
document Records in the input data frame
binary Whether a passive was detected in that document
passive_match(es) Parts of the document detected as passive
raw_passive_count Number of passive voices detected in the sentence
raw_passive_sents_count Number of sentences with passive voice
raw_sentence_count Number of sentences detected in the document
passive_sents_percentage Proportion of passive sentences to the total number of sentences

Please choose a file (CSV or XLSX) for this analysis and write the name of the column that needs to be analyzed in the box bellow:


Sentence-level analysis
Column Name Description
docId Initial index of the record in the input file
sentenceId The ith sentence in one specific record
sentence The detected sentence
binary Whether passive was detected in that sentence
passive_match(es) The part of the record detected as passive voice
raw_passive_count Number of passive forms detected in the sentence

Please choose a file (CSV or XLSX) for this analysis and write the name of the column that needs to be analyzed in the box bellow:

To try this package on your own system please visit this page. Just keep in mind that you need to install Python and the required packages on your system.

With this Google Colab environment, you can run the package in an environment like your system, but without having to install Python or any packages. (link to notebook)