diff --git a/BotSharp.Core/BotSharp.Core.csproj b/BotSharp.Core/BotSharp.Core.csproj
index 2c5cf3ad..4ff12b5f 100644
--- a/BotSharp.Core/BotSharp.Core.csproj
+++ b/BotSharp.Core/BotSharp.Core.csproj
@@ -62,4 +62,8 @@
     <Folder Include="Engines\CoreNlp\" />
   </ItemGroup>
 
+  <ItemGroup>
+    <ProjectReference Include="..\..\BotSharp.NLP\BotSharp.NLP\BotSharp.NLP.csproj" />
+  </ItemGroup>
+
 </Project>
diff --git a/BotSharp.Core/Engines/Classifiers/SVMClassifier.cs b/BotSharp.Core/Engines/Classifiers/SVMClassifier.cs
new file mode 100644
index 00000000..db473d95
--- /dev/null
+++ b/BotSharp.Core/Engines/Classifiers/SVMClassifier.cs
@@ -0,0 +1,92 @@
+using BotSharp.Core.Abstractions;
+using BotSharp.Core.Agents;
+using BotSharp.NLP.Classify;
+using DotNetToolkit;
+using Microsoft.Extensions.Configuration;
+using Newtonsoft.Json.Linq;
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.IO;
+using System.Linq;
+using System.Text;
+using System.Threading;
+using System.Threading.Tasks;
+using Txt2Vec;
+
+namespace BotSharp.Core.Engines.Classifiers
+{
+    public class SVMClassifier : INlpTrain, INlpPredict
+    {
+        public IConfiguration Configuration { get; set; }
+        public PipeSettings Settings { get; set; }
+
+        public async Task<bool> Predict(Agent agent, NlpDoc doc, PipeModel meta)
+        {
+            string modelFileName = Path.Combine(Settings.ModelDir, meta.Model);
+            string predictFileName = Path.Combine(Settings.TempDir, "fasttext.txt");
+            File.WriteAllText(predictFileName, doc.Sentences[0].Text);
+
+            var output = CmdHelper.Run(Path.Combine(Settings.AlgorithmDir, "fasttext"), $"predict-prob \"{modelFileName}.bin\" \"{predictFileName}\"");
+
+            File.Delete(predictFileName);
+
+            doc.Sentences[0].Intent = new TextClassificationResult
+            {
+                Classifier = "FasttextClassifier",
+                Label = output.Split(' ')[0].Split(new string[] { "__label__" }, StringSplitOptions.None)[1],
+                Confidence = decimal.Parse(output.Split(' ')[1])
+            };
+
+            return true;
+        }
+
+        public async Task<bool> Train(Agent agent, NlpDoc doc, PipeModel meta)
+        {
+            meta.Model = "classification-fasttext.model";
+
+            string parsedTrainingDataFileName = Path.Combine(Settings.TempDir, $"classification-fasttext.parsed.txt");
+            string modelFileName = Path.Combine(Settings.ModelDir, meta.Model);
+
+            // assemble corpus
+            StringBuilder corpus = new StringBuilder();
+            agent.Corpus.UserSays.ForEach(x => corpus.AppendLine($"__label__{x.Intent} {x.Text}"));
+
+            List<string> labels = new List<string>();
+            List<string> sentences = new List<string>();
+            
+
+            agent.Corpus.UserSays.ForEach(x =>{
+                labels.Add(x.Intent);
+                sentences.Add(x.Text);
+            });
+
+            Dictionary<string, string>  labelDic = new Dictionary<string, string>();
+            int num = 0;
+            foreach (string label in labels)
+            {
+                if (labelDic.ContainsKey(label))
+                {
+                    continue;
+                }
+                labelDic.Add(label, num++.ToString());
+            };
+            List<string> labelNums = new List<string>();
+            foreach (string label in labels)
+            {
+                labelNums.Add(labelDic[label]);
+            }
+            NLP.Classify.SVMClassifier svmClassifier = new NLP.Classify.SVMClassifier();
+            Args args = new Args(); 
+            args.WordDecoderModelFile = Path.Combine(Settings.ModelDir, "wordvec_enu.bin");
+            List<LabeledFeatureSet> featureSetList = svmClassifier.FeatureSetsGenerator(new VectorGenerator(args).Sentence2Vec(sentences), labelNums);
+            svmClassifier.Train(featureSetList, new ClassifyOptions(Path.Combine(Settings.ModelDir, "svm_classifier_model")));
+
+            meta.Meta = new JObject();
+            meta.Meta["compiled at"] = "Aug 31, 2018";
+
+
+            return true;
+        }
+    }
+}
diff --git a/BotSharp.sln b/BotSharp.sln
index 0e04dc70..fb940ac0 100644
--- a/BotSharp.sln
+++ b/BotSharp.sln
@@ -11,6 +11,8 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "BotSharp.WebHost", "BotShar
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "BotSharp.Core.UnitTest", "BotSharp.Core.UnitTest\BotSharp.Core.UnitTest.csproj", "{A31A6853-DFB8-477D-8F09-8E6E3D166102}"
 EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "BotSharp.NLP", "..\BotSharp.NLP\BotSharp.NLP\BotSharp.NLP.csproj", "{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}"
+EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 		Debug|Any CPU = Debug|Any CPU
@@ -51,6 +53,14 @@ Global
 		{A31A6853-DFB8-477D-8F09-8E6E3D166102}.Release|Any CPU.Build.0 = Release|Any CPU
 		{A31A6853-DFB8-477D-8F09-8E6E3D166102}.Release|x64.ActiveCfg = Release|x64
 		{A31A6853-DFB8-477D-8F09-8E6E3D166102}.Release|x64.Build.0 = Release|x64
+		{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}.Debug|x64.ActiveCfg = Debug|x64
+		{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}.Debug|x64.Build.0 = Debug|x64
+		{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}.Release|Any CPU.Build.0 = Release|Any CPU
+		{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}.Release|x64.ActiveCfg = Release|x64
+		{ECAC1C50-5D12-496F-A5CC-7CF006EA9105}.Release|x64.Build.0 = Release|x64
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE