/// <summary>
/// Builds the cloud - common part of the algorithm
/// </summary>
/// <param name="c">The c.</param>
/// <param name="chunkTable">The chunk table.</param>
/// <param name="termTable">The term table.</param>
/// <param name="output">The output.</param>
/// <param name="logger">The logger.</param>
/// <param name="resolver">The resolver.</param>
/// <returns></returns>
/// <exception cref="aceScienceException">This is stupid. Settings for cloudConstructor have assignChunkTableWeightToLink=true but it will not create new link in case the lemmas are already linked" +
/// ", therefore resulting weight is assigned just by chance! Change cloudConstructor settings bro, to make some sense. - null - cloudConstructor has irrational settings</exception>
protected lemmaSemanticCloud BuildCloud(lemmaSemanticConstruct c, webLemmaTermTable chunkTable, webLemmaTermTable termTable, lemmaSemanticCloud output, ILogBuilder logger, ITextResourceResolver resolver)
{
c.TrashBin.ForEach(x => c.nodeNames.Remove(x));
foreach (String n in c.nodeNames) // <------------ creating nodes
{
Double weight = 0;
if (settings.assignTermTableWeightToNode)
{
var lemma = termTable[n];
if (lemma != null)
{
weight = lemma.weight;
}
}
else
{
weight = 1;
}
if (weight > 0)
{
if (c.isCaseCloud)
{
if (settings.doFactorToCaseClouds)
{
if (c.PrimaryTerms.Contains(n))
{
output.AddNode(n, weight * settings.PrimaryTermWeightFactor, 2);
}
else if (c.SecondaryTerms.Contains(n))
{
output.AddNode(n, weight * settings.SecondaryTermWeightFactor, 1);
}
else
{
output.AddNode(n, weight * settings.ReserveTermWeightFactor, 0);
}
}
else
{
output.AddNode(n, weight);
}
}
else
{
// class cloud
if (settings.doFactorToClassClouds)
{
if (c.PrimaryTerms.Contains(n))
{
output.AddNode(n, weight * settings.PrimaryTermWeightFactor, 2);
}
else if (c.SecondaryTerms.Contains(n))
{
output.AddNode(n, weight * settings.SecondaryTermWeightFactor, 1);
}
else
{
output.AddNode(n, weight * settings.ReserveTermWeightFactor, 0);
}
}
else
{
output.AddNode(n, weight);
}
}
}
}
foreach (List <String> n in c.lemmasList) // <-------- creating links
{
String first = n[0];
if (c.TrashBin.Contains(first))
{
continue;
}
if (output.ContainsNode(first, true))
{
foreach (String m in n)
{
if (c.TrashBin.Contains(m))
{
continue;
}
if (m != first)
{
if (output.ContainsNode(m, true))
{
Double weight = 1;
if (settings.assignChunkTableWeightToLink)
{
weight = c.weightDict[n].weight;
}
else
{
if (settings.doAdjustLinkWeightByChunkSize)
{
weight = (n.Count - 1).GetRatio(1);
}
else
{
weight = 1;
}
}
var link = output.GetLink(first, m);
if (link == null)
{
output.AddLink(first, m, weight);
}
else
{
if (settings.doSumExistingLinkWeights)
{
link.weight += weight;
}
else
{
// it will not create new link as it already exists
// this is irrational in case settings.assignChunkTableWeightToLink is true
if (settings.assignChunkTableWeightToLink)
{
throw new aceScienceException("This is stupid. Settings for cloudConstructor have assignChunkTableWeightToLink=true but it will not create new link in case the lemmas are already linked" +
", therefore resulting weight is assigned just by chance! Change cloudConstructor settings bro, to make some sense.", null, this, "cloudConstructor has irrational settings", settings);
}
}
}
}
}
}
}
}
c.primaryChunks.ForEach(x => output.primaryChunks.Add(x.nominalForm));
c.secondaryChunks.ForEach(x => output.secondaryChunks.Add(x.nominalForm));
return(output);
}
/// <summary>
/// Processes the position enhanced.
/// </summary>
/// <param name="chunkTable">The chunk table.</param>
/// <param name="termTable">The term table.</param>
/// <param name="output">The output.</param>
/// <param name="logger">The logger.</param>
/// <param name="subjects">The subjects.</param>
/// <param name="resolver">The resolver.</param>
/// <returns></returns>
protected lemmaSemanticCloud processPOSEnhanced(webLemmaTermTable chunkTable, webLemmaTermTable termTable, lemmaSemanticCloud output, ILogBuilder logger, List <pipelineTaskMCSiteSubject> subjects, ITextResourceResolver resolver)
{
List <webLemmaTerm> allChunks = chunkTable.GetList();
if (output == null)
{
output = new lemmaSemanticCloud();
}
// <----------------- PRIMARY
lemmaSemanticConstruct c = new lemmaSemanticConstruct(subjects);
lemmaSemanticConstruct cl = new lemmaSemanticConstruct(subjects);
while (c != cl)
{
c = cl;
cl = lemmaSemanticConstruct.NextIteration(cl, resolver, allChunks, settings, subjects, logger);
if (cl.createdInIteration > settings.primaryTermOptimizationIterationLimit)
{
c = cl;
break;
}
if (cl.OptimizationDone)
{
break;
}
}
c = cl;
// <------------------- PRIM
c.CollectRelevantTerms(settings.doReserveTermsForClass);
if (!c.isCaseCloud)
{
c.LogConstruct(logger);
}
// <---------------------------------
var docSetFreq = allChunks.Where(x => c.RelevantTerms.Any(y => x.nominalForm.SplitSmart(" ", "", true, true).Contains(y)));
foreach (webLemmaTerm chunk in docSetFreq)
{
var lemmas = chunk.nominalForm.SplitSmart(" ", "", true, true);
List <String> l_out = new List <string>();
foreach (String lm in lemmas)
{
if (c.NotProcessed(lm))
{
var lu = resolver.GetLexicUnit(lm, logger);
if (lu == null)
{
c.TrashBin.AddUnique(lm);
}
else
{
var tg = lu.GetTagFromGramTags <pos_type>(pos_type.none);
if (tg.ContainsAny(new pos_type[] { pos_type.N, pos_type.A }))
{
c.ReserveTerms.AddUnique(lm);
l_out.Add(lm);
}
else
{
c.TrashBin.AddUnique(lm);
}
}
}
else
{
if (!c.TrashBin.Contains(lm))
{
l_out.Add(lm);
}
}
}
if (l_out.Count > 1)
{
l_out.Sort((x, y) => String.CompareOrdinal(x, y));
c.lemmasList.Add(l_out);
c.weightDict.Add(l_out, chunk);
c.nodeNames.AddRange(l_out, true);
}
}
return(BuildCloud(c, chunkTable, termTable, output, logger, resolver));
}
/// <summary>
/// Processes the complex.
/// </summary>
/// <param name="chunkTable">The chunk table.</param>
/// <param name="termTable">The term table.</param>
/// <param name="output">The output.</param>
/// <param name="logger">The logger.</param>
/// <param name="subjects">The subjects.</param>
/// <param name="resolver">The resolver.</param>
/// <returns></returns>
protected lemmaSemanticCloud processAlternative(webLemmaTermTable chunkTable, webLemmaTermTable termTable, lemmaSemanticCloud output, ILogBuilder logger, List <pipelineTaskMCSiteSubject> subjects, ITextResourceResolver resolver)
{
if (output == null)
{
output = new lemmaSemanticCloud();
}
lemmaSemanticConstruct c = new lemmaSemanticConstruct(subjects);
List <webLemmaTerm> allChunks = chunkTable.GetList();
// <--------------------------------- DETECTING THE MOST IMPORTANT TERMS
IEnumerable <webLemmaTerm> vipChunks = null;
if (subjects.Count > 1)
{
vipChunks = allChunks.Where(x => x.documentSetFrequency > settings.documentSetFreqLowLimit);
}
else
{
vipChunks = allChunks;
}
instanceCountCollection <String> lemmaCounter = new instanceCountCollection <string>();
List <List <String> > primaryLemmaList = new List <List <String> >();
foreach (webLemmaTerm chunk in vipChunks)
{
var lemmas = chunk.nominalForm.SplitSmart(" ", "", true, true);
lemmas = lemmas.Where(x => x.Length > 2).ToList();
lemmaCounter.AddInstanceRange(lemmas);
}
c.RelevantTerms = lemmaCounter.getSorted();
lemmaCounter.reCalculate();
foreach (String term in c.RelevantTerms)
{
if (lemmaCounter[term] == lemmaCounter.maxFreq)
{
c.PrimaryTerms.Add(term);
}
else if (lemmaCounter[term] > lemmaCounter.minFreq)
{
c.SecondaryTerms.Add(term);
}
else
{
c.ReserveTerms.Add(term);
}
}
c.CollectRelevantTerms(settings.doReserveTermsForClass);
c.LogConstruct(logger);
// <---------------------------------
var docSetFreq = allChunks.Where(x => c.RelevantTerms.Any(y => x.nominalForm.SplitSmart(" ", "", true, true).Contains(y)));
foreach (webLemmaTerm chunk in docSetFreq)
{
var lemmas = chunk.nominalForm.SplitSmart(" ", "", true, true);
lemmas = lemmas.Where(x => x.Length > 2).ToList();
if (lemmas.Count > 1)
{
lemmas.Sort((x, y) => String.CompareOrdinal(x, y));
c.lemmasList.Add(lemmas);
c.weightDict.Add(lemmas, chunk);
c.nodeNames.AddRange(lemmas, true);
}
}
return(BuildCloud(c, chunkTable, termTable, output, logger, resolver));
}
public static lemmaSemanticConstruct NextIteration(lemmaSemanticConstruct lastIteration, ITextResourceResolver resolver, List <webLemmaTerm> allChunks, cloudConstructorSettings settings, List <pipelineTaskMCSiteSubject> subjects, ILogBuilder logger)
{
var cl = lastIteration;
var c = new lemmaSemanticConstruct(subjects);
c.createdInIteration = lastIteration.createdInIteration + 1;
c.PTCountMin = Math.Min(lastIteration.PTCountMin, lastIteration.PrimaryTerms.Count);
c.PTCountMax = Math.Max(lastIteration.PTCountMax, lastIteration.PrimaryTerms.Count);
if (!c.isCaseCloud)
{
c.onTopChunks.AddRange(allChunks.Where(x => x.documentSetFrequency > (settings.documentSetFreqLowLimit + lastIteration.createdInIteration)));
}
else
{
if (!settings.doFactorToCaseClouds)
{
c.OptimizationDone = true;
}
c.onTopChunks = allChunks;
}
if (!c.isCaseCloud)
{
instanceCountCollection <String> lemmaCounter = new instanceCountCollection <string>();
List <List <String> > primaryLemmaList = new List <List <String> >();
foreach (webLemmaTerm chunk in c.onTopChunks)
{
var lemmas = chunk.nominalForm.SplitSmart(" ", "", true, true);
lemmaCounter.AddInstanceRange(lemmas);
}
lemmaCounter.reCalculate();
foreach (String st in lemmaCounter)
{
if (lemmaCounter.maxFreq == 1 || lemmaCounter[st] > 1)
{
var lu = resolver.GetLexicUnit(st, logger);
if (lu == null)
{
c.TrashBin.AddUnique(st);
}
else
{
var tg = lu.GetTagFromGramTags <pos_type>(pos_type.none);
if (tg.Contains(pos_type.N))
{
c.PrimaryTerms.AddUnique(st);
}
else if (tg.Contains(pos_type.A))
{
c.SecondaryTerms.AddUnique(st);
}
else
{
c.TrashBin.AddUnique(st);
}
}
}
}
; // <---------------------------- Primary terms extracted
if (c.PrimaryTerms.Count == 0)
{
if (c.SecondaryTerms.Any())
{
logger.log(":: Moving Adjective terms [" + c.SecondaryTerms.Count + "] to Primary Terms category, as no Nouns were qualified to the cateogry");
c.PrimaryTerms.AddRange(c.SecondaryTerms);
c.SecondaryTerms.Clear();
}
}
}
instanceCountCollection <String> secondCounter = new instanceCountCollection <string>();
foreach (webLemmaTerm chunk in allChunks)
{
var lemmas = chunk.nominalForm.SplitSmart(" ", "", true, true);
secondCounter.AddInstanceRange(lemmas);
}
foreach (webLemmaTerm chunk in allChunks)
{
var lemmas = chunk.nominalForm.SplitSmart(" ", "", true, true);
if (lemmas.ContainsAny(c.PrimaryTerms))
{
if (c.onTopChunks.Contains(chunk))
{
c.primaryChunks.Add(chunk);
}
else
{
c.secondaryChunks.Add(chunk);
}
foreach (String lm in lemmas)
{
if (c.NotProcessed(lm))
{
var lu = resolver.GetLexicUnit(lm, logger);
if (lu == null)
{
c.TrashBin.AddUnique(lm);
}
else
{
var tg = lu.GetTagFromGramTags <pos_type>(pos_type.none);
if (tg.ContainsAny(new pos_type[] { pos_type.N, pos_type.A }))
{
c.SecondaryTerms.AddUnique(lm);
}
else
{
c.TrashBin.AddUnique(lm);
}
}
}
}
}
else
{
foreach (String lm in lemmas)
{
if (secondCounter[lm] > settings.termInChunkLowerLimit)
{
if (c.NotProcessed(lm))
{
var lu = resolver.GetLexicUnit(lm, logger);
if (lu == null)
{
c.TrashBin.AddUnique(lm);
}
else
{
var tg = lu.GetTagFromGramTags <pos_type>(pos_type.none);
if (tg.ContainsAny(new pos_type[] { pos_type.N, pos_type.A }))
{
c.ReserveTerms.AddUnique(lm);
}
else
{
c.TrashBin.AddUnique(lm);
}
}
}
}
else
{
c.TrashBin.AddUnique(lm);
}
}
}
}
if (c.OptimizationDone)
{
return(c);
}
c.PTCountMin = Math.Min(lastIteration.PTCountMin, c.PrimaryTerms.Count);
c.PTCountMax = Math.Max(lastIteration.PTCountMax, c.PrimaryTerms.Count);
if (c.PrimaryTerms.Count <= settings.primaryTermLowTargetCount)
{
if (lastIteration.PrimaryTerms.Count < c.PrimaryTerms.Count)
{
logger.log("[" +
c.createdInIteration.ToString("D3") + "] PrimaryTerms count [" + c.PrimaryTerms.Count + "] after [" + c.createdInIteration + "] iterations optimized ---- Max[" + c.PTCountMax + "] Min[" + c.PTCountMin + "] T:" + Thread.CurrentThread.Name);
}
else
{
logger.log("[" + c.createdInIteration.ToString("D3") + "] PrimaryTerms count changed from [" + lastIteration.PrimaryTerms.Count + "] to [" + c.PrimaryTerms.Count + "] --- Max[" + c.PTCountMax + "] Min[" + c.PTCountMin + "] T:" + Thread.CurrentThread.Name);
logger.log("[" +
c.createdInIteration.ToString("D3") + "] previous PrimaryTerms count [" + lastIteration.PrimaryTerms.Count + "] accepted, after [" + c.createdInIteration + "] ---- Max[" + c.PTCountMax + "] Min[" + c.PTCountMin + "] T:" + Thread.CurrentThread.Name);
c = lastIteration;
}
c.OptimizationDone = true;
}
else
{
logger.log("[" + c.createdInIteration.ToString("D3") + "] PrimaryTerms count changed from [" + lastIteration.PrimaryTerms.Count + "] to [" + c.PrimaryTerms.Count + "] --- Max[" + c.PTCountMax + "] Min[" + c.PTCountMin + "] T:" + Thread.CurrentThread.Name);
}
return(c);
}