Merge pull request #64 from INGEOTEC/develop

Version - 2.4.13

.github/workflows/pip.yaml

@@ -13,7 +13,7 @@ jobs:
         shell: bash -l {0}
     strategy:
       matrix:
-        os: [ubuntu-latest, macos-latest, macos-latest-large, windows-latest]
+        os: [ubuntu-latest, macos-latest, windows-latest]
         python-version: ["3.9", "3.10", "3.11"]
     steps:
     - uses: actions/checkout@v2
@@ -31,7 +31,7 @@ jobs:
       run: |
         conda install --yes pip
         pip install twine
-        conda install --yes numpy scipy scikit-learn nose
+        conda install --yes numpy scipy scikit-learn
         python setup.py sdist
         python setup.py bdist_wheel        
     - name: Pip

microtc/__init__.py

@@ -28,6 +28,6 @@
 The starting point is :py:class:`microtc.textmodel.TextModel`
 
 """
-__version__ = "2.4.12"
+__version__ = "2.4.13"
 
 from microtc.textmodel import TextModel

microtc/textmodel.py

@@ -335,8 +335,22 @@ def __init__(self, docs=None, text: str='text',
         if docs is not None and len(docs):
             self.fit(docs)
 
+    @property
+    def norm_emojis(self):
+        """Normalize emojis"""
+        try:
+            return self._norm_emojis
+        except AttributeError:
+            self.norm_emojis = False
+        return self._norm_emojis
+
+    @norm_emojis.setter
+    def norm_emojis(self, value):
+        self._norm_emojis = value
+
     @property
     def unit_vector(self):
+        """Unit vector"""
         try:
             return self._unit_vector
         except AttributeError:
@@ -351,13 +365,15 @@ def unit_vector(self, value):
 
     @property
     def q_grams_words(self):
+        """q-grams only on words"""
         try:
             return self._q_grams_words
         except AttributeError:
             return False
 
     @property
     def max_dimension(self):
+        """Maximum dimension"""
         try:
             return self._max_dimension
         except AttributeError: