I want to make a chatbot that uses Sentiment analyser script for knowing the sentiment of the user's reply for which I have completed the Chatbot making.
Now only thing I want to do is to use this Script to analyse the reply of user using the chatbot that I have made.
How should I integrate this sentiment_analysis.py script with the chatbot.py file to analyse the sentiment's of user?
Update: The overall performance will be like this :
Chatbot: How was your day?
User: It was an awesome day. I feel so elated and motivated today.
User Reply: Positive
Sentiment score = (some random value)
Thanking you in advance.
Import classes from sentiment analysis script to chatbot script. Then do necessary things according to your requirement. For example. I modified your chatbot script:
from chatterbot import ChatBot from chatterbot.trainers import ListTrainer from sentiment_analysis import Splitter, POSTagger, DictionaryTagger # import all the classes from sentiment_analysis import os bot = ChatBot('Bot') bot.set_trainer(ListTrainer) # for files in os.listdir('C:/Users/username\Desktop\chatterbot\chatterbot_corpus\data/english/'): # data = open('C:/Users/username\Desktop\chatterbot\chatterbot_corpus\data/english/' + files, 'r').readlines() data = [ "My name is Tony", "that's a good name", "Thank you", "How you doing?", "I am Fine. What about you?", "I am also fine. Thanks for asking."] bot.train(data) # I included 3 functions from sentiment_analysis here for ease of loading. Alternatively you can create a class for them in sentiment_analysis.py and import here. def value_of(sentiment): if sentiment == 'positive': return 1 if sentiment == 'negative': return -1 return 0 def sentence_score(sentence_tokens, previous_token, acum_score): if not sentence_tokens: return acum_score else: current_token = sentence_tokens[0] tags = current_token[2] token_score = sum([value_of(tag) for tag in tags]) if previous_token is not None: previous_tags = previous_token[2] if 'inc' in previous_tags: token_score *= 2.0 elif 'dec' in previous_tags: token_score /= 2.0 elif 'inv' in previous_tags: token_score *= -1.0 return sentence_score(sentence_tokens[1:], current_token, acum_score + token_score) def sentiment_score(review): return sum([sentence_score(sentence, None, 0.0) for sentence in review]) # create instances of all classes splitter = Splitter() postagger = POSTagger() dicttagger = DictionaryTagger([ 'dicts/positive.yml', 'dicts/negative.yml', 'dicts/inc.yml', 'dicts/dec.yml', 'dicts/inv.yml']) print("ChatBot is Ready...") print("ChatBot : Welcome to my world! What is your name?") message = input("you: ") print("\n") while True: if message.strip() != 'Bye'.lower(): reply = bot.get_response(message) # process the text splitted_sentences = splitter.split(message) pos_tagged_sentences = postagger.pos_tag(splitted_sentences) dict_tagged_sentences = dicttagger.tag(pos_tagged_sentences) # find sentiment score score = sentiment_score(dict_tagged_sentences) if (score >= 1): print('User Reply: Positive') else: print('User Reply: Negative') print("Sentiment score :",score) print('ChatBot:',reply) if message.strip() == 'Bye'.lower(): print('ChatBot: Bye') break message = input("you: ") print("\n")
Let me know when you get errors.
翻译