"Movie" (Text Content Type)
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See Also
- TextCases
- TextPosition
- TextSentences
- Containing
- MovieData
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- Entity Types
- Movie
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- Interpreter Types
- Movie
- ComputedMovie
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- Text Contents
- MusicAlbum
- MusicAct
- MusicWork
- BroadcastStation
- FictionalCharacter
- Person
- Book
- Periodical
- Artwork
- Related Guides
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-
See Also
- TextCases
- TextPosition
- TextSentences
- Containing
- MovieData
-
- Entity Types
- Movie
-
- Interpreter Types
- Movie
- ComputedMovie
-
- Text Contents
- MusicAlbum
- MusicAct
- MusicWork
- BroadcastStation
- FictionalCharacter
- Person
- Book
- Periodical
- Artwork
- Related Guides
-
See Also
"Movie" (Text Content Type)
Text identified as the name of a movie expressed in natural language.
Details
- "Movie" can be used in TextCases, TextPosition and TextContents.
- "Movie" corresponds to any mention of a movie (real or not real) in the context of the text.
- Homonyms of movies that are not movies should not be detected as "Movie" (if the context allows disambiguation).
- TextCases[…,"Movie""Interpretation"] attempts to return entities of type "Movie", as Interpreter["Movie"] does.
- Any specific "Movie" entity such as
can also be used as a content type in TextCases, TextPosition and TextContents.
Examples
Basic Examples (3)
Find occurrences of movies in a text:
TextCases["In North America, the film opened to number five in its first weekend, with $10,809,149, behind Fifty Shades of Grey, Kingsman: The Secret Service, The SpongeBob Movie: Sponge Out of Water, and McFarland, USA.", "Movie"]Get the result as a list of "Movie" entities:
TextCases["In North America, the film opened to number five in its first weekend, with $10,809,149, behind Fifty Shades of Grey, Kingsman: The Secret Service, The SpongeBob Movie: Sponge Out of Water, and McFarland, USA.", "Movie" -> "Interpretation", VerifyInterpretation -> True]A similar result can be obtained by applying Interpreter["Movie"] to text snippets:
Interpreter["Movie"][{"Fifty Shades of Grey", "Kingsman: The Secret Service", "The SpongeBob Movie"}]Get properties about occurrences of movies:
TextContents["In North America, the film opened to number five in its first weekend, with $10,809,149, behind Fifty Shades of Grey, Kingsman: The Secret Service, The SpongeBob Movie: Sponge Out of Water, and McFarland, USA.", "Movie", All]Find mentions of The SpongeBob Movie: Sponge Out of Water in a text:
TextContents["The DUFF grossed $43.5 million, against a budget of $8.5 million. In North America, the film opened to number five in its first weekend, with $10,809,149, behind Fifty Shades of Grey, Kingsman: The Secret Service, The SpongeBob Movie: Sponge Out of Water, and McFarland, USA.", Entity["Movie", "TheSpongeBobMovie:SpongeOutOfWater::k9t35"]]See Also
TextCases TextPosition TextSentences Containing MovieData
Entity Types: Movie
Interpreter Types: Movie ComputedMovie
Text Contents: MusicAlbum MusicAct MusicWork BroadcastStation FictionalCharacter Person Book Periodical Artwork