private void button3_Click(object sender, EventArgs e)
{
try
{
string dir = Path.GetDirectoryName(Path.GetFullPath(textBox1.Text));
string testPath = "ldaTestDoc.txt";
string model = Path.GetFileNameWithoutExtension(textBox1.Text);
LDA.WriteLdaDocToFile(Preprocessor.SegmentRemoveStopWords(new string[] { textBox2.Text }.ToList(), false), Path.Combine(dir, testPath));
string args = string.Format("-inf -dir {0} -model {1} -dfile {2} -niters 20", dir, model, testPath);
ProcessUtils.StartProcess("lda.exe", args);
//控制台输出预测结果
var docTopicArray = LDA.ReadDocumentTopicData(Path.Combine(dir, "ldaTestDoc.txt.theta"));//把预测结果读入内存
Console.WriteLine("[{0}]读取主题映射...", DateTime.Now);
var topicLabel = LDA.GetTopicLabel(Path.Combine(dir, "ldaTopicLabel.txt"));//这个话题标签在执行本句代码之前需要人工指定好,根据model-final.twords文件一一对照打上标签
Console.WriteLine("[{0}]开始预测主题...", DateTime.Now);
var topicIndex = LDA.GetDocmentTopicIndexList(docTopicArray);//根据预测结果挑选出每篇文档最可能的主题的索引
label3.Text = topicLabel[topicIndex[0]];
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
//throw;
}
}
private void button2_Click(object sender, EventArgs e)
{
try
{
var fullPath = Path.GetFullPath(textBox1.Text);
var dir = Path.GetDirectoryName(fullPath);
var inferDocFile = "ldaInferDoc.txt";
var thetaFile = inferDocFile + ".theta";
var topicLabelFile = "ldaTopicLabel.txt";
var inferDocAbsPath = Path.Combine(dir, inferDocFile);
var thetaAbsPath = Path.Combine(dir, thetaFile);
var topicLabelAbsPath = Path.Combine(dir, topicLabelFile);
Console.WriteLine("[{0}]开始预测主题...", DateTime.Now);
List <string> tidList = null;
Console.WriteLine("[{0}]获取微博...", DateTime.Now);
var inferOriginalDocs = LDA.GetLDAInferDoc(out tidList);
Console.WriteLine("[{0}]预处理...", DateTime.Now);
var inferDocs = Preprocessor.SegmentRemoveStopWords(inferOriginalDocs, false);
Console.WriteLine("[{0}]写入文件...", DateTime.Now);
LDA.WriteLdaDocToFile(inferDocs, inferDocAbsPath);
Console.WriteLine("[{0}]吉布斯采样...", DateTime.Now);
string args = string.Format("-inf -dir {0} -model {1} -dfile {2} -niters 20", dir, "model-final", inferDocFile);
ProcessUtils.StartProcess("lda.exe", args);
//控制台输出预测结果
Console.WriteLine("[{0}]读取预测结果...", DateTime.Now);
var docTopicArray = LDA.ReadDocumentTopicData(thetaAbsPath);//把预测结果读入内存
Console.WriteLine("[{0}]读取主题映射...", DateTime.Now);
var topicLabel = LDA.GetTopicLabel(topicLabelAbsPath);//这个话题标签在执行本句代码之前需要人工指定好,根据model-final.twords文件一一对照打上标签
Console.WriteLine("[{0}]开始预测主题...", DateTime.Now);
var topicIndex = LDA.GetDocmentTopicIndexList(docTopicArray);//根据预测结果挑选出每篇文档最可能的主题的索引
Console.WriteLine("[{0}]以下是微博的主题预测情况：", DateTime.Now);
LDA.PrintTopics(inferOriginalDocs, topicIndex, topicLabel);
//保存数据库
Console.WriteLine("[{0}]开始存储主题...", DateTime.Now);
LDA.SaveTopicToDB(topicIndex, topicLabel, tidList);
MessageBox.Show("任务已完成！", "提示", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "出错啦", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}