public static List <TextSummary> SummarizeBooks(List <TextInfo> books, int decimals = 3)
{
var res = new List <TextSummary>();
foreach (var book in books)
{
var preProcessedText =
Stylo.PreProcessText(Path.Combine(@"..\..\Tekster\", book.Filename), Encoding.UTF8, true);
var s = new Stylo.TextSummary(book, preProcessedText, decimals);
res.Add(s);
}
return(res);
}
public static List <ShortSummary> SummarizeWordClusters(TextInfo info, int ClusterSize, int decimals = 3)
{
var summary = new List <ShortSummary>();
var preProcessedText =
Stylo.PreProcessText(Path.Combine(@"..\..\Tekster\", info.Filename), Encoding.UTF8, true);
var clusters = Stylo.getWordClusters(preProcessedText, ClusterSize, false);
int counter = 1;
foreach (var cluster in clusters)
{
var s = new Stylo.ShortSummary(info, cluster, decimals);
s.Cluster = counter;
counter++;
summary.Add(s);
}
return(summary);
}
private static void writeTestDataset(List <TextInfo> works, string headers, Options options,
bool writeToConsole = true)
{
if (writeToConsole)
{
ConsoleHelper.Write(ConsoleColor.DarkGray, $"Klargør import af {works.Count} tekster til TEST-sæt...");
}
using (var writer = new StreamWriter(ModelBuilder.TestCSVFile(options), false, Encoding.UTF8))
{
writer.WriteLine(headers);
foreach (TextInfo work in works)
{
if (writeToConsole)
{
ConsoleHelper.Write(ConsoleColor.DarkGray, $"---> {work.Title}");
}
List <string> list = new List <string>();
var preProcessedText = Stylo.PreProcessText(Path.Combine(@"..\..\Tekster\", work.Filename), Encoding.UTF8,
true);
work.TextSummary = new Stylo.TextSummary(work, preProcessedText);
switch (options.ImportFormat)
{
case TextImportFormat.SENTENCES:
var sentences = Stylo.GetSentences(preProcessedText, options.removeStopWords);
int counter = 0;
string ss = "";
for (int i = 0; i < sentences.Count; i++)
{
string sentence = sentences[i];
if (counter < options.testClusterSize)
{
ss = ss + sentence + " ";
counter++;
}
else
{
list.Add(ss);
ss = sentence;
counter = 0;
}
}
list.Add(ss);
break;
case TextImportFormat.WORDS:
list = Stylo.getWordClusters(preProcessedText, options.testClusterSize, options.removeStopWords);
break;
//case TextImportFormat.CHARS:
// list = Stylo.getCharacterClusters(preProcessedText, options.testClusterSize);
// break;
//default:
// list = Stylo.getCharacterClusters(preProcessedText, options.testClusterSize);
// break;
}
// List<string> list = Cluster Sentences.GetSentences(s.Text);
List <ImportDataModel> data = new List <ImportDataModel>();
foreach (string value in list)
{
ImportDataModel cluster = new ImportDataModel(work, value);
//cluster.DifferentWords = cluster.DifferentWords / options.testClusterSize;
//cluster.LongWords = cluster.LongWords / options.testClusterSize;
//cluster.HapaxLegomena = cluster.HapaxLegomena / options.testClusterSize;
//cluster.StopWords = cluster.StopWords / options.testClusterSize;
//cluster.TotalWords = cluster.TotalWords / options.testClusterSize;
data.Add(cluster);
}
WriteCSV(data, work, writer);
}
}
if (writeToConsole)
{
Console.WriteLine("");
ConsoleHelper.Write(ConsoleColor.DarkGray,
$"CSV-fil for TEST gemt som {ModelBuilder.TestCSVFile(options)}");
Console.WriteLine("");
}
}
public static void writeDataset(List <TextInfo> works, string headers, Options options)
{
using (var trainWriter = new StreamWriter(ModelBuilder.TrainCSVFile(options), false, Encoding.UTF8))
{
trainWriter.WriteLine(headers);
using (var testWriter = new StreamWriter(ModelBuilder.TestCSVFile(options), false, Encoding.UTF8))
{
testWriter.WriteLine(headers);
foreach (TextInfo work in works)
{
List <string> trainList = new List <string>();
List <string> testList = new List <string>();
ConsoleHelper.Write(ConsoleColor.DarkGray, $"---> {work.Title}");
var preProcessedText = Stylo.PreProcessText(Path.Combine(@"..\..\Tekster\", work.Filename), Encoding.UTF8,
true);
work.TextSummary = new Stylo.TextSummary(work, preProcessedText);
int splitPart = 0;
if (options.importSplitPct > 0)
{
splitPart = (int)Math.Round(100 / options.importSplitPct, MidpointRounding.AwayFromZero) - 2;
}
switch (options.ImportFormat)
{
case TextImportFormat.SENTENCES:
var sentences = Stylo.GetSentences(preProcessedText, options.removeStopWords);
bool fillTrainSet = true;
int counter = 1;
int stepcounter = 0;
string ss = "";
for (int i = 0; i < sentences.Count; i++)
{
string sentence = sentences[i];
if (fillTrainSet)
{
if (counter < options.trainClusterSize)
{
ss = ss + sentence + " ";
counter++;
}
else
{
trainList.Add(ss);
stepcounter++;
ss = sentence;
counter = 1;
if (stepcounter == splitPart)
{
fillTrainSet = false;
}
}
}
else
{
if (counter < options.testClusterSize)
{
ss = ss + sentence + " ";
counter++;
}
else
{
testList.Add(ss);
ss = sentence;
counter = 1;
fillTrainSet = true;
stepcounter = 0;
}
}
}
break;
case TextImportFormat.WORDS:
var words = Stylo.GetWords(preProcessedText, options.removeStopWords);
fillTrainSet = true;
counter = 1;
stepcounter = 0;
ss = "";
for (int i = 0; i < words.Count; i++)
{
ss += words[i] + " ";
if (fillTrainSet)
{
if (counter < options.trainClusterSize)
{
counter++;
}
else
{
trainList.Add(ss);
ss = "";
stepcounter++;
counter = 1;
if (stepcounter == splitPart)
{
fillTrainSet = false;
}
}
}
else
{
if (counter < options.testClusterSize)
{
counter++;
}
else
{
testList.Add(ss);
counter = 1;
fillTrainSet = true;
stepcounter = 0;
ss = "";
}
}
}
break;
}
List <ImportDataModel> data = new List <ImportDataModel>();
foreach (string value in trainList)
{
ImportDataModel cluster = new ImportDataModel(work, value);
data.Add(cluster);
}
WriteCSV(data, work, trainWriter);
data = new List <ImportDataModel>();
foreach (string value in testList)
{
ImportDataModel cluster = new ImportDataModel(work, value);
data.Add(cluster);
}
WriteCSV(data, work, testWriter);
}
}
}
}