Adjectives and Character (Treemap), from the Visualizing Literature toolset, allows users to select a text from Visualizing Literature's list of grade school curriculum exemplar creative commons texts and search for a character name from the text. The results visualize the most common adjectives associated with that character, and may include or exclude stopwords. All texts are searchable, and can be sorted by writer, title, publication year, grade level, availability for analysis and availablility of a direct link to the text. Please note that, as this toolset is still in beta, the selection of texts is currently limited, though over 300 texts are forthcoming. As of 2014, this toolset is no longer available as the website has been taken down. It may still be viewed via the Internet Archive.
Adjectives in the Book, from the Visualizing Literature toolset, allows users to select a text from Visualizing Literature's list of grade school curriculum exemplar creative commons texts and visualize the most common adjectives within the text. Users can search the whole text or chapter by chapter, and incude or exclude stopwords in the results. All texts are searchable, and can be sorted by writer, title, publication year, grade level, availability for analysis and availablility of a direct link to the text. Please note that, as this toolset is still in beta, the selection of texts is currently limited, though over 300 texts are forthcoming. As of 2014, this toolset is no longer available as the website has been taken down. It may still be viewed via the Internet Archive.
Sentiment, from the Visualizing Literature toolset, allows users to select a text from Visualizing Literature's list of grade school curriculum exemplar creative commons texts and graph it for keywords suggestive of sentiment. All texts are searchable, and can be sorted by writer, title, publication year, grade level, availability for analysis and availablility of a direct link to the text. Please note that, as this toolset is still in beta, the selection of texts is currently limited, though over 300 texts are forthcoming. As of 2014, this toolset is no longer available as the website has been taken down. It may still be viewed via the Internet Archive.
Virtue and Vice, from the Visualizing Literature toolset, allows users to select a text from Visualizing Literature's list of grade school curriculum exemplar creative commons texts and graph out all instances of words suggestive of virtue and vice within the text. All texts are searchable, and can be sorted by writer, title, publication year, grade level, availability for analysis and availablility of a direct link to the text. Please note that, as this toolset is still in beta, the selection of texts is currently limited, though over 300 texts are forthcoming. As of 2014, this toolset is no longer available as the website has been taken down. It may still be viewed via the Internet Archive.
Words in Context, from the Visualizing Literature toolset, allows users to select a text from Visualizing Literature's list of grade school curriculum exemplar creative commons texts and perform a keyword search. The results of the search show all instances of the word, with all surrounding text found on the same line for context. All texts are searchable, and can be sorted by writer, title, publication year, grade level, availability for analysis and availablility of a direct link to the text. Please note that, as this toolset is still in beta, the selection of texts is currently limited, though over 300 texts are forthcoming. As of 2014, this toolset is no longer available as the website has been taken down. It may still be viewed via the Internet Archive.
VisuWords is a mindmapping linguistic tool that shows the relationships between the queried word and related words in an interactive map, with corresponding definitions.
VIVO is an open source semantic web application originally developed and implemented at Cornell. When installed and populated with researcher interests, activities, and accomplishments, it enables the discovery of research and scholarship across disciplines at that institution and beyond. VIVO supports browsing and a search function which returns faceted results for rapid retrieval of desired information. Content in any local VIVO installation may be maintained manually, brought into VIVO in automated ways from local systems of record, such as HR, grants, course, and faculty activity databases, or from database providers such as publication aggregators and funding agencies.
VOCAB - U - LISTER was a tool for lemmatizing texts developed at the University of Toronto in the 1990s. It could handle Spanish text and could process as many as 2000 words at a time.
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