def handle_message(message):
input_text = message.text
path = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
nlp = NaturalLanguageProcessor(app_path=path)
nlp.build(incremental=True)
sentences = input_text.split(".")
reply = "\nThe contract has been summarized into the key details, as seen below \n\n"
for s in sentences:
if s is not "":
processedWord = nlp.process(s)
intent = processedWord.get('intent')
domain = processedWord.get('domain')
print("Intent is : " + intent)
print("Domain is : " + domain)
# handle salary case
result_salary = ''
if intent == 'get_salary':
for c in s:
if c.isdigit():
result_salary += c
reply += "The SALARY of the employee is " + result_salary + "/month\n"
doc = spacyNlp(s)
jobDoc = jobTitleNlp(s)
dateDoc = dateTimeNlp(s)
for ent in doc.ents:
if ent.label_ == 'PERSON' and intent == 'employment_details':
reply += "The EMPLOYEE in the contract is : " + ent.text + "\n"
elif ent.label_ == 'PERSON' and intent == 'employed_by':
reply += "The EMPLOYER in the contract is : " + ent.text + "\n"
elif ent.label_ == 'ORG':
reply += "The COMPANY that the employee will report to is : " + ent.text + "\n"
elif ent.label_ == 'GPE':
reply += "APPLICABLE LAW : " + ent.text + "\n"
for ent in jobDoc.ents:
if intent == 'job_details':
reply += "The JOB TITLE of the employee is : " + ent.text + "\n"
#print(ent.text, ent.start_char, ent.end_char, ent.label_)
for ent in dateDoc.ents:
if intent == 'contract_date':
reply += "The contract was SIGNED on : " + ent.text + "\n"
elif intent == 'effective_date':
reply += "The STARTING date of employment is : " + ent.text + "\n"
elif intent == 'last_date':
reply += "The TERMINATION date of employment is : " + ent.text + "\n"
# path = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
# nlp = NaturalLanguageProcessor(app_path=path)
# nlp.build(incremental=True)
# processWord = message.text
# processedWord = nlp.process(processWord)
# intent = processedWord.get('intent')
# domain = processedWord.get('domain')
# logging.info('intent: ' + intent)
# logging.info('domain: ' + domain)
# if domain == 'greeting':
# reply = handleGreeting(intent)
# else: # domain = nanocore_faq
# reply = handleFaq(intent)
bot.reply_to(message, reply) # responds with success message
from mindmeld.components.nlp import NaturalLanguageProcessor
nlp = NaturalLanguageProcessor('.')
nlp.build()
from mindmeld.components.nlp import NaturalLanguageProcessor
import spacy
import os.path
spacyNlp = spacy.load("en_core_web_sm")
jobTitleNlp = spacy.load("JOB_TITLE")
dateTimeNlp = spacy.load("DATE_TIME")
input_text = input("Enter text to process:\n")
path = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
nlp = NaturalLanguageProcessor(app_path=path)
nlp.build(incremental=True)
sentences = input_text.split(".")
reply = "\nThe contract has been summarized into the key details, as seen below \n\n"
personCounter = 0
for s in sentences:
if s is not "":
processedWord = nlp.process(s)
intent = processedWord.get('intent')
domain = processedWord.get('domain')
print("Intent is : " + intent)
print("Domain is : " + domain)
# handle salary case
result_salary = ''
if intent == 'get_salary':
for c in s:
if c.isdigit():
result_salary += c
reply += "The SALARY of the employee is " + result_salary + "/month\n"