fixed class defintion syntax

emotion_detection.py

@@ -4,7 +4,7 @@ import torch
 import pandas as pd
 
 
-class EmotionDetection():
+class EmotionDetection:
     def __init__(self, chunksize=512):
         hub_location = 'cardiffnlp/twitter-roberta-base-emotion'
         self.tokenizer = AutoTokenizer.from_pretrained(hub_location)

named_entity_recognition.py

@@ -2,7 +2,7 @@ from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import pipeline
 
 
-class NamedEntityRecognition():
+class NamedEntityRecognition:
     def __init__(self):
         tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large-finetuned-conll03-english")
         model = AutoModelForTokenClassification.from_pretrained("xlm-roberta-large-finetuned-conll03-english")

part_of_speech_tagging.py

@@ -4,7 +4,7 @@ nltk.download('punkt')
 nltk.download('averaged_perceptron_tagger')
 
 
-class POSTagging():
+class POSTagging:
     def __init__(self):
        pass
 

sentiment_analysis.py

@@ -4,7 +4,7 @@ import torch
 import pandas as pd
 
 
-class SentimentAnalysis():
+class SentimentAnalysis:
     def __init__(self):
         # Load Tokenizer & Model
         hub_location = 'cardiffnlp/twitter-roberta-base-sentiment'