Sentiments Docs/o1.sentiment/SentimentAnalyzer

SentimentAnalyzer

o1.sentiment.SentimentAnalyzer

See theSentimentAnalyzer companion class

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
Graph
Supertypes: class Object

trait Matchable

class Any
Self type: SentimentAnalyzer.type

Members list

Value members

Concrete methods

Given the path to a file that contains training data, returns a SentimentAnalyzer trained on that data.

N.B. This method is unsafe: it will crash with an error if it fails to read the file. If it encounters invalid lines, the method will emit warnings and ignore that data.

Attributes

Given a Source that contains training data, returns a SentimentAnalyzer trained on that data.

N.B. This method is unsafe: it will crash with an error if it fails to read the source. If it encounters invalid lines, the method will emit warnings and ignore that data.

Attributes

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This document is part of the ebook for O1 (aka CS-A1110 Programming 1), a course at Aalto University.