SentimentAnalyzer

This companion object of class SentimentAnalyzer provides methods for initializing a 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.

Companion:
class
class Object
trait Matchable
class Any

Value members

Concrete methods

def fromFile(trainingDataPath: String): SentimentAnalyzer

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

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.

def fromSource(trainingData: Source): SentimentAnalyzer

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

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.