//line is a jsonstring of map of label to array of strings; ex: {"name":["Bush","Carter","Obama"]}
/// <exception cref="System.Exception"/>
public virtual string DoNewPhrases(string line)
{
System.Console.Out.WriteLine("adding new phrases");
ConstantsAndVariables constVars = new ConstantsAndVariables(props, humanLabelClasses.Keys, humanLabelClasses);
IJsonReader jsonReader = Javax.Json.Json.CreateReader(new StringReader(line));
IJsonObject objarr = jsonReader.ReadObject();
foreach (KeyValuePair <string, IJsonValue> o in objarr)
{
string label = o.Key;
ICollection <CandidatePhrase> seed = new HashSet <CandidatePhrase>();
IJsonArray arr = objarr.GetJsonArray(o.Key);
for (int i = 0; i < arr.Count; i++)
{
string seedw = arr.GetString(i);
System.Console.Out.WriteLine("adding " + seedw + " to seed ");
seed.Add(CandidatePhrase.CreateOrGet(seedw));
}
Sharpen.Collections.AddAll(seedWords[label], seed);
constVars.AddSeedWords(label, seed);
GetPatternsFromDataMultiClass.RunLabelSeedWords(Data.sents, humanLabelClasses[label], label, seed, constVars, false);
}
//model.labelWords(label, labelclass, Data.sents, seed);
return("SUCCESS added new phrases");
}
//the format of the line input is json string of maps. required keys are "input" and "seedWords". "input" can be a string or file (in which case readFile should be true.)
// For example: {"input":"presidents.txt","seedWords":{"name":["Obama"],"place":["Chicago"]}}
/// <exception cref="System.IO.IOException"/>
/// <exception cref="Java.Lang.InstantiationException"/>
/// <exception cref="System.Reflection.TargetInvocationException"/>
/// <exception cref="Java.Util.Concurrent.ExecutionException"/>
/// <exception cref="Java.Sql.SQLException"/>
/// <exception cref="System.Exception"/>
/// <exception cref="System.MemberAccessException"/>
/// <exception cref="System.TypeLoadException"/>
/// <exception cref="System.MissingMethodException"/>
public virtual string ProcessText(bool writeOutputToFile)
{
logger.Info("Starting to process text");
logger.Info("all seed words are " + seedWords);
Pair <IDictionary <string, DataInstance>, IDictionary <string, DataInstance> > sentsPair = GetPatternsFromDataMultiClass.ProcessSents(props, seedWords.Keys);
Data.sents = sentsPair.First();
ConstantsAndVariables constVars = new ConstantsAndVariables(props, seedWords.Keys, machineAnswerClasses);
foreach (string label in seedWords.Keys)
{
GetPatternsFromDataMultiClass.RunLabelSeedWords(Data.sents, humanLabelClasses[label], label, seedWords[label], constVars, true);
}
if (writeOutputToFile)
{
GetPatternsFromDataMultiClass.WriteColumnOutput(outputFile, false, humanLabelClasses);
System.Console.Out.WriteLine("written the output to " + outputFile);
}
logger.Info("Finished processing text");
return("SUCCESS");
}