SSWE!

Author: Ivan Matantsev

src/Microsoft.ML.Transforms/Text/doc.xml

@@ -190,7 +190,7 @@
       </summary>
       <remarks>
         WordEmbeddings wrap different embedding models, such as GloVe. Users can specify which embedding to use. 
-        The available options are various versions of <a href="https://nlp.stanford.edu/projects/glove/">GloVe Models</a>, <a href="https://en.wikipedia.org/wiki/FastText">fastText</a>, and <a href="http://anthology.aclweb.org/P/P14/P14-1146.pdf">Sswe</a>.
+        The available options are various versions of <a href="https://nlp.stanford.edu/projects/glove/">GloVe Models</a>, <a href="https://en.wikipedia.org/wiki/FastText">fastText</a>, and <a href="http://anthology.aclweb.org/P/P14/P14-1146.pdf">SSWE</a>.
         <para>
           Note: As WordEmbedding requires a column with text vector, e.g. %3C%27This%27, %27is%27, %27good%27%3E, users need to create an input column by
           using DelimitedTokenizeTransform on top of Text column which will break text into tokens by specified separators, or by using the output_tokens=True for TextTransform