o1.sentiment
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An instance of this class is a “sentiment analyzer” taught on a corpus of texts whose sentiments have been appraised and annotated by a human. Given a roughly similar piece of text as those that appear in its training data, the analyzer can assign the text a numerical rating that reflects how positive or negative it is; see the rate method.
An instance of this class is a “sentiment analyzer” taught on a corpus of texts whose sentiments have been appraised and annotated by a human. Given a roughly similar piece of text as those that appear in its training data, the analyzer can assign the text a numerical rating that reflects how positive or negative it is; see the rate method.
The SentimentAnalyzer companion object provides methods for initializing analyzer objects from training data.
Attributes
- Companion
- object
- Supertypes
This companion object of class SentimentAnalyzer provides methods for initializing analyzer instances from training data.
This companion object of class SentimentAnalyzer provides methods for initializing analyzer instances from training data.
The methods expect the data to be in the following line-based format:
-1 Aggressive self-glorification and a manipulative whitewash.
2 A comedy-drama of nearly epic proportions rooted in a sincere performance by the title character undergoing midlife crisis.
-1 Narratively, Trouble Every Day is a plodding mess.
1 The Importance of Being Earnest, so thick with wit it plays like a reading from Bartlett's Familiar Quotations
0 It's everything you'd expect -- but nothing more.
That is, each line of input should start with a sentiment rating of -2, -1, 0, 1, 2. A negative numbers means that the rest of the line expresses a negative sentiment, as determined by a human rater; positive numbers correspondingly reflect positive sentiments.
Attributes
- Companion
- class
- Supertypes
- Self type
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SentimentAnalyzer.type
Value members
Concrete methods
Cleans the given line of text for use by a SentimentAnalyzer: normalizes apostrophes and whitespace and discards unwanted punctuation.
Cleans the given line of text for use by a SentimentAnalyzer: normalizes apostrophes and whitespace and discards unwanted punctuation.