Emoji Polarity Analyzers

textflow/Analyzer.py

@@ -33,7 +33,7 @@ class Analyzer(ABC):
                 resultOfAnalisys= []
                 for i in analyzeResult:
                     resultOfAnalisys.append(i)
-                if isinstance(resultOfAnalisys[0], Sequence):
+                if len(resultOfAnalisys) >0 and isinstance(resultOfAnalisys[0], Sequence):
                     sequence.children[tag] = resultOfAnalisys        
                 else:
                     sequence.metadata[tag] = resultOfAnalisys

textflow/ComplexityAnalyzer.py

@@ -44,7 +44,6 @@ class ComplexityAnalyzer(Analyzer):
         min_max_list: the minimum of maximum tree depths.
         max_max_list: the maximum of maximum tree depths.
         mean_max_list: the mean of maximum tree depths.
-        
     """
 
 
@@ -53,7 +52,7 @@ class ComplexityAnalyzer(Analyzer):
         Create a complexity analyzer from an input object.
 
         Args:
-            rutaArchivoCrea: the file that contains the most frequence words of spanish language
+            rutaArchivoCrea: the path of the file that contains the most frequence words of spanish language
             isMetadata: boolean, if the result of the analyzer is stored in metadata (True) or in children(False)
         """
         self.nlp = nlp

textflow/EmojiPolarityAnalyzer.py

+from typing import Optional
+from textflow.Analyzer import Analyzer
+import emoji
+
+class EmojiPolarityAnalyzer(Analyzer):
+    """
+    A class that provides methods to analyze the polarity of the text of a sequence.
+
+    Attributes:
+        positiveEmoji: a list with the positive emojis 
+        negativeEmoji: a list with the negative emojis
+    """
+
+    def __init__(self, positiveEmojiPath = "textflow\emoticons\emojiPositive.txt", negativeEmojiPath = 'textflow\emoticons\emojiNegative.txt'):
+        """
+        Create a text emoji polarity analyzer from an input object.
+        Args:
+            positiveEmojiPath = the path of the file that contains the positive text emojis.
+            negativeEmojiPath = the path of the file that contains the negative text emojis.
+        """
+        positiveEmoji = []
+        negativeEmoji = []
+        with open(positiveEmojiPath) as archivo:
+            positiveEmoji = archivo.readlines()
+        with open(negativeEmojiPath) as archivo:
+            negativeEmoji = archivo.readlines()
+
+        self.positiveEmoji = []
+        self.negativeEmoji = []
+        for posEmoji in positiveEmoji:
+            self.positiveEmoji.append(chr(int(posEmoji.replace("\n", "").replace(" ", "")[2:], 16)).encode('unicode-escape').decode('unicode-escape'))
+        for negEmoji in negativeEmoji:
+            self.negativeEmoji.append(chr(int(negEmoji.replace("\n", "").replace(" ", "")[2:], 16)).encode('unicode-escape').decode('unicode-escape'))
+    
+
+    def analyze(self, sequence, tag, levelOfAnalyzer, levelOfResult:Optional[str] = ""): 
+        """
+        Analyze a sequence with a text emoji polarity function.
+
+        Args:
+            sequence: the Sequence we want to analyze.
+            tag: the label to store the analysis result.
+            levelOfAnalyzer: the path of the sequence level to analyze inside of the result.
+            levelOfResult: the path of the sequence level to store the result.
+        """
+        super().analyze(self.emojiPolarity,sequence, tag, levelOfAnalyzer, levelOfResult, True)
+
+    def emojiPolarity(self, arrayText):
+        """
+        Function that analyzes the polarity of a list of texts.
+
+        Args:
+            arrayText: list that contains the texts that we want to analyze
+        Returns:
+            A list with the dictionaries. Each dictionary contains the result
+            of the analysis of the corresponding text.
+        """
+        arrayResults =[]
+        for text in arrayText:
+            dicNumEmoji = {"positive": 0, "negative": 0}
+            emojiFounded = {"positive": set(), "negative": set()}
+            
+            listEmojis=emoji.emoji_lis(text)
+            for dictEmoji in listEmojis:
+                if dictEmoji['emoji'] in self.positiveEmoji:
+                    dicNumEmoji['positive'] += 1
+                    emojiFounded['positive'].add(dictEmoji['emoji'])
+                elif dictEmoji['emoji'] in self.negativeEmoji:
+                    dicNumEmoji['negative'] += 1
+                    emojiFounded['negativetive'].add(dictEmoji['emoji'])
+
+            if(dicNumEmoji['positive'] > 0 or dicNumEmoji['negative'] >0):
+                percentagePolarity = {"positive": dicNumEmoji['positive']/(dicNumEmoji['positive']+dicNumEmoji['negative']), "negative": dicNumEmoji['negative']/(dicNumEmoji['positive']+dicNumEmoji['negative'])}
+            else:
+                percentagePolarity = {"positive": 0, "negative": 0}
+            
+            tep = {
+                "numEmojisPolarity": dicNumEmoji,
+                "percentageEmojisPolarity": percentagePolarity,
+                "distinctEmojiFounded": emojiFounded
+            }
+            arrayResults.append(tep)
+        
+        return arrayResults
+

textflow/TextEmojiPolarityAnalyzer.py

+from typing import Optional
+from textflow.Analyzer import Analyzer
+import re
+
+class TextEmojiPolarityAnalyzer(Analyzer):
+    """
+    A class that provides methods to analyze the polarity of the text of a sequence.
+
+    Attributes:
+        positiveEmoji: a list with the positive text emojis 
+        negativeEmoji: a list with the negative text emojis
+    """
+
+    def __init__(self, positiveEmojiPath = "textflow\emoti-sp\emojiTextPositive.txt", negativeEmojiPath = 'textflow\emoti-sp\emojiTextNegative.txt'):
+        """
+        Create a text emoji polarity analyzer from an input object.
+        Args:
+            positiveEmojiPath = the path of the file that contains the positive text emojis.
+            negativeEmojiPath = the path of the file that contains the negative text emojis.
+        """
+        self.positiveEmoji = []
+        self.negativeEmoji = []
+        with open(positiveEmojiPath) as archivo:
+            self.positiveEmoji = archivo.readlines()
+        with open(negativeEmojiPath) as archivo:
+            self.negativeEmoji = archivo.readlines()
+
+        
+
+    
+    def analyze(self, sequence, tag, levelOfAnalyzer, levelOfResult:Optional[str] = ""): 
+        """
+        Analyze a sequence with a text emoji polarity function.
+
+        Args:
+            sequence: the Sequence we want to analyze.
+            tag: the label to store the analysis result.
+            levelOfAnalyzer: the path of the sequence level to analyze inside of the result.
+            levelOfResult: the path of the sequence level to store the result.
+        """
+        super().analyze(self.textEmojiPolarity,sequence, tag, levelOfAnalyzer, levelOfResult, True)
+
+    def textEmojiPolarity(self, arrayText):
+        """
+        Function that analyzes the polarity of a list of texts.
+
+        Args:
+            arrayText: list that contains the texts that we want to analyze
+        Returns:
+            A list with the dictionaries. Each dictionary contains the result
+            of the analysis of the corresponding text.
+        """
+        arrayResults =[]
+        for text in arrayText:
+            dicNumEmoji = {"positive": 0, "negative": 0}
+            textEmojiFounded = {"positive": [], "negative": []}
+            
+            for positiveEmoji in self.positiveEmoji:
+                coincidencias = re.findall(re.escape(positiveEmoji.replace("\n", "")), text)
+                if len(coincidencias) > 0:
+                    dicNumEmoji['positive'] += len(coincidencias)
+                    textEmojiFounded['positive'].append(positiveEmoji.replace("\n", ""))
+
+            for negativeEmoji in self.negativeEmoji:
+                coincidencias = re.findall(re.escape(negativeEmoji.replace("\n", "")), text)
+                if len(coincidencias) > 0:
+                    dicNumEmoji['negative'] += len(coincidencias)
+                    textEmojiFounded['negative'].append(negativeEmoji.replace("\n", ""))
+            
+            if(dicNumEmoji['positive'] > 0 or dicNumEmoji['negative'] >0):
+                percentagePolarity = {"positive": dicNumEmoji['positive']/(dicNumEmoji['positive']+dicNumEmoji['negative']), "negative": dicNumEmoji['negative']/(dicNumEmoji['positive']+dicNumEmoji['negative'])}
+            else:
+                percentagePolarity = {"positive": 0, "negative": 0}
+            
+            tep = {
+                "numTextEmojisPolarity": dicNumEmoji,
+                "percentageTextEmojiPolarity": percentagePolarity,
+                "distinctTextEmojiFounded": textEmojiFounded
+            }
+            arrayResults.append(tep)
+        
+        return arrayResults
+

textflow/emoti-sp/emojiTextNegative.txt

+:(
+=(
+:-(
+:'-(
+:'(
+>:[
+:-c
+:c
+:-<
+:<
+:-[
+:[
+:{
+:-||
+:@
+Q.Q
+D:<
+D:
+D8
+D;
+D=
+DX
+v.v
+D-':
+:|
+:-|
+:/
+:\
+=/
+=\
+:L
+=L
+:S
+>.<
+>:\
+>:/
+:-###..
+:##..
+<:-|
+(>_<)
+(>_<)>
+('_')
+(/_;)
+(T_T)
+(;_;)
+(ToT)

textflow/emoti-sp/emojiTextPositive.txt

+:)
+=)
+:D
+:d
+;)
+:-)
+:))
+:)))
+(;
+:P
+:p
+:0)
+:]
+:3
+:c)
+:>
+=]
+8)
+=)
+:}
+:^)
+:-D
+:-d
+8-D
+8-d
+8D
+x-D
+xD
+X-D
+XD
+xd
+=-D
+=D
+=-3
+=3
+B^D
+:'-)
+:')
+:*
+:^*
+( '}{' )
+;-)
+*-)
+*)
+;-]
+;]
+;D
+;^)
+:-,
+#-)
+^_^
+>^_^<
+<^!^>
+(^.^)
+(^_^.)
+(^_^)
+(^^)
+(^J^)
+(^-^)
+(*^^)v
+(^^)v
+(^_^)v
+( ^)o(^ )
+(^O^)
+(^o^)

textflow/emoticons/emojiNegative.txt

+U+1F610
+U+1F480
+U+1F637
+U+1F632
+U+1F620
+U+1F627
+U+1FAE4
+U+1F47B	
+U+1F616
+U+1F47A
+U+1F629	
+U+1F971	
+U+1F641
+U+1F62D
+U+1F47F
+U+1F623
+U+1F628
+U+1F640
+U+1F5A4
+U+1F625
+U+1F614
+U+1F630
+U+1F922
+U+1F63E
+U+2620
+U+1F622
+U+1F479
+U+1F615
+U+2639
+U+1F61E
+U+1F97A
+U+1F61F
+U+1F92C
+U+1F635 
+U+1F62F
+U+1F621
+U+1F915
+U+1F624
+U+1F912
+U+1F626
+U+1F44E
+U+1F974
+U+1F927
+U+1F63F
+U+200D 
+U+1F62A
+U+1F494
+U+1F4AB
+U+1F62B
+U+1F611
+U+1F613	
+U+1F635
+U+1F925
+U+1F92E
+U+1F921
+U+1F612
+U+1F631	
+U+1F4A2
+U+1F62E
+U+1F633
+U+1F4A9
\ No newline at end of file

textflow/emoticons/emojiPositive.txt

+U+1F972	
+U+1F979
+U+1F49C
+U+1F497
+U+1F91E
+U+1F491	
+U+1F92A
+U+1F38A
+U+1F468
+U+1FAE0
+U+1FA75
+U+1FAE1
+U+1F61C
+U+1F63A
+U+1F48B
+U+1F61D
+U+2764
+U+1F63B
+U+263A
+U+1F643
+U+1F92D
+U+1FAF6
+U+1F638
+U+1F90D
+U+1FA79
+U+1F63D	
+U+1F639
+U+200D 
+U+1F604
+U+1F90E
+U+1FAE2
+U+270C
+U+1F60D
+U+1F49B
+U+1F61A
+U+1F61B
+U+1F468 
+U+1F525
+U+1F60C
+U+1F911
+U+1F44C
+U+1F48B 
+U+1F917
+U+1F491
+U+1F619
+U+1F924
+U+2728	
+U+2764 
+U+1F918
+U+1F499
+U+1F49E
+U+1F496
+U+1F970
+U+1F60A
+U+1F60E
+U+1F92B
+U+1F648
+U+1F64A
+U+1F60F
+U+2763	
+U+1F60B
+U+1F605
+U+1FAE3
+U+1FAF0
+U+1FA77
+U+1F49F
+U+1F48F
+U+1F44D
+U+1F469 
+U+1F389
+U+1F63C
+U+1F49A
+U+1F607
+U+1F973
+U+1F642
+U+1F919	
+U+1FA76
+U+1F914
+U+1F48C
+U+1F923
+U+1F649
+U+1F44F
+U+1F600
+U+1F601
+U+1F493
+U+1F4AF	
+U+1F498
+U+1F618
+U+1F608
+U+1F602
+U+1F49D
+U+1F91F
+U+1F929
+U+1F9E1
+U+1F469
+U+1F495
+U+1F609
+U+1F606
+U+1F617
+U+1F603
+U+FE0F