var data= mlContext.Data.TextReader(new TextLoader.Arguments()
{
Separator = "tab",
HasHeader = true,
Column = new[]
{
new TextLoader.Column("Sentiment", DataKind.BL, 0),
new TextLoader.Column("SentimentText", DataKind.Text, 1)
}
}).Read(dataFile);
var pipeline = mlContext.Transforms.Text.FeaturizeText("SentimentText", "Features")
.Append(mlContext.BinaryClassification.Trainers.AveragedPerceptron(label: "Sentiment", features: "Features"));