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Valerie Veloso Freelancer, Philippines
$5 /hr
2 Years Exp.
0 Followers
I used to work as a cost Engineer in a construction firm, a customer service representative in a BPO Company, and I have also did Data Entry when I 1s...Read More
Joel Customer Support Specialist, Philippines
$6 /hr
5 Years Exp.
0 Followers
I have been in the customer support industry for 5 years.
Marsad Akbar Web Developer & Admin Support, Pakistan
$5 /hr
2 Years Exp.
0 Followers
I have 2 years of Experience in Web Development and my main Field is to develop web application like hotel, hostel, hospital, stock & inventory, s...Read More
I was a Customer Support Team Lead/Supervisor for an Amazon Re-seller handling Email, Chat and Phone Support. My duties include assisting customers ab...Read More
Jeriane Rendon Fraud Analyst, Philippines
$5 /hr
5 Years Exp.
0 Followers
I am a fast learner and I tend to work in a timely manner that will satisfy the client. I will do by best to exceed every expectation that they will g...Read More
Resty Aoanan Operations Management, Philippines
$12 /hr
11 Years Exp.
0 Followers
I am an Operations Manager with 6 years experience handling 100 heads supporting technical support and customer service
Hamza freelancer, India
$2 /hr
0 Years Exp.
0 Followers
i am a very professional freelancer . i took a lot of courses on smma and im very good in english communication too
Rowen Tigtig Customer Service Expert, Philippines
$10 /hr
8 Years Exp.
0 Followers
I am a Customer Service Champion, I have been working in a call center industry for over 8 years now. I had experienced managerial and supervisory pos...Read More
I spent 8 years working in customer service and have been in different roles. I am an experienced customer service representative, a trainer (supporti...Read More
Mohamed i do support chat agent , Morocco
$8 /hr
1 Years Exp.
2 Followers
i have already work with some websites i can help your customer
Devaughn Customer Success Expert, Jamaica
$15 /hr
5 Years Exp.
0 Followers
I am experienced in Customer Service, with over 5 years experience, I will nothing but an asset to your organization. With experience in Phone Support...Read More
Muhammad Umar Farooq Technical & Customer Support Executive, Pakistan
$14 /hr
6 Years Exp.
0 Followers
I have an experience of 6 years working as a customer Support Representative/Technical Support Executive, in which I gained an extensive hands-on expe...Read More
Rollyd John R.Flexible worker, Philippines
/hr
8 Years Exp.
0 Followers
Willing to be trained, dedicated to work assigned, follow instruction well and do tasks on time
Rich-wilson Email and Chat Support Specialist, Philippines
$3 /hr
3 Years Exp.
0 Followers
As a Customer Support Specialist, I am responsible for providing satisfaction and support not just to the customers but also to the company. I have a...Read More
Melody Virtual Assistant, Philippines
$15 /hr
2 Years Exp.
0 Followers
Good Command in Written and Spoken English Tech Savvy Microsoft Office Proficient Sociable
Ronald Jake Chat Team Lead, Philippines
$8 /hr
6 Years Exp.
0 Followers
I've been in the bpo/Customer service industry for 7 years now and been a team leader in this field for more than 3 years and I believe that I wi...Read More
Leoj C.Good Chat Handler, Philippines
$3 /hr
4 Years Exp.
0 Followers
Hi there! Here are my skills: Writing Skills. The ability to communicate effectively in writing is obviously a baseline skill required for live chat....Read More
Lorenz Chat support agent, Philippines
$5 /hr
4 Years Exp.
0 Followers
I have both call and chat support experience for 4 years and have been commended and rewarded for excellent work by clients and customers.
Cristel Joyce Customer Chat Support Representative, Philippines
$3 /hr
10 Years Exp.
0 Followers
I did work in a Japanese Company as a Customer Chat support for 10 months and had several sales related jobs in a department store. I am looking forw...Read More
Bala Murugan S Customer Support Executive, India
$4 /hr
13 Years Exp.
0 Followers
I am a medical transcriptionist in profession and have been in the Healthcare Industry for 13 years, now for the last 2 years working as a back office...Read More
Jonalyn Bulaquino Customer Service Associate, Philippines
$14 /hr
5 Years Exp.
0 Followers
I'm an expert in serving clients and to provide the most Customer Centric Service. Can multi task, and can work beyond the expectations. I'v...Read More
Moncef Social Media Manager/Customer Service., Morocco
$6 /hr
0 Years Exp.
0 Followers
I am a social media manager/customer service representative, with 2.5 years of experience working for the French telecommunication giant, "SFR&qu...Read More
Qasim Sales and Customer support agent, Pakistan
$10 /hr
1 Years Exp.
0 Followers
Hey this is Qasim, Im a Sales agents that works from home. I’d like to tell you i have experience and have worked with a digital marketing company pr...Read More
Marianne Sales and Service Lead Associae, Philippines
$5 /hr
7 Years Exp.
0 Followers
I have been in the Call Center Industry for 7 years now. I worked as a customer service consultant for 5 years and got promoted as a subject matter ex...Read More
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Articles Related To Chatbot


A chatbot is an artificial intelligence powered piece of software in a device, application, web site or alternative networks that try to complete consumer’s needs and then assist them to perform a selected task. Now a days almost every company has a chatbot deployed to interact with the users.

 

Chatbots are often used in many departments, businesses and every environment. They are artificial narrow intelligence (ANI). Chatbots only do a restricted quantity of task i.e. as per their design. However, these Chatbots make our lives easier and convenient. The trend of Chatbots is growing rapidly between businesses and entrepreneurs, and are willing to bring chatbots to their sites. You might also produce it yourself using Python.

 

How do chatbots work?

There are broadly two variants of chatbotsRule-Based and Self learning.

  1. In a Rule-based approach, a bot answers questions based on some rules on that it is trained on. The rules outlined could be very easy to very complicated. The bots will handle easy queries but fail to manage complicated ones.
  2. The Self learning bots are those that use some Machine Learning-based approaches and are positively a lot of economical than rule-based bots. These bots may be of additional two types: Retrieval based or Generative.
    1. In retrieval-based models, Chatbot uses the message and context of conversation for selecting the best response from a predefined list of bot messages.
    2. Generative bots can generate the answers and not always reply with one of the answers from a set of answers. This makes them more intelligent as they take word by word from the query and generates the answers.

 

Building a chatbot using Python

NLP:

The field of study that focuses on the interactions between human language and computers is called Natural Language Processing. NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way. However, if you are new to NLP, you can read Natural Language Processing in Python.

 

NLTK:

NLTK (Natural Language Toolkit) is a leading platform for building Python programs to work with human language data. It provides easy-to-use lexical resources such as WordNet, along with a suite of text processing libraries.

 

Importing necessary libraries

import nltk 

import numpy as np 

import random 

import string # to process standard python strings

 

Copy the content in text file named ‘chatbot.txt’, read in the text file and convert the entire file content into a list of sentences and a list of words for further pre-processing.

 

f=open('chatbot.txt','r',errors = 'ignore')

raw=f.read()

raw=raw.lower()# converts to lowercase

nltk.download('punkt') # first-time use only

nltk.download('wordnet') # first-time use only

sent_tokens = nltk.sent_tokenize(raw)# converts to list of sentences 

word_tokens = nltk.word_tokenize(raw)# converts to list of words

 

Pre-processing the raw text

We shall now define a function called LemTokens which will take as input the tokens and return normalized tokens.

 

lemmer = nltk.stem.WordNetLemmatizer()

#WordNet is a semantically-oriented dictionary of English included in NLTK.

def LemTokens(tokens):     

return [lemmer.lemmatize(token) for token in tokens]

remove_punct_dict = dict((ord(punct), None) for punct in string.punctuation) 

def LemNormalize(text):     

return LemTokens(nltk.word_tokenize(text.lower().translate(remove_punct_dict)))

 

Keyword matching

Define a function for greeting by bot i.e. if user’s input is greeting, the bot shall return a greeting response.

GREETING_INPUTS = ("hello", "hi", "greetings", "sup", "what's up","hey",)

GREETING_RESPONSES = ["hi", "hey", "*nods*", "hi there", "hello", "I am glad! You are talking to me"]

def greeting(sentence):

for word in sentence.split():

if word.lower() in GREETING_INPUTS:

return random.choice(GREETING_RESPONSES)

 

Generate responses

To generate a response from our bot for input queries, the concept of document similarity is used. Therefore, we start by importing necessary modules.

From scikit learn library, import the TFidf vector to convert a collection of raw documents to a matrix of TF-IDF features

from sklearn.feature_extraction.text import TfidfVectorizer

Also, import cosine similarity module from scikit learn library

from sklearn.metrics.pairwise import cosine_similarity

This will be used to find the similarity between words entered by the user and therefore the words within the corpus. This can be the simplest possible implementation of a chatbot.

Define a function response that searches the user’s vocalization for one or more known keywords and returns one of several possible responses. If it doesn’t find the input matching any of the keywords, it returns a response: “I’m sorry! I don’t understand you”

 

def response(user_response):

robo_response=''

sent_tokens.append(user_response)

TfidfVec = TfidfVectorizer(tokenizer=LemNormalize, stop_words='english')

tfidf = TfidfVec.fit_transform(sent_tokens)

vals = cosine_similarity(tfidf[-1], tfidf)

idx=vals.argsort()[0][-2]

flat = vals.flatten()

flat.sort()

req_tfidf = flat[-2]

if(req_tfidf==0):

robo_response=robo_response+"I am sorry! I don't understand you"

return robo_response

else:  robo_response = robo_response+sent_tokens[idx]

return robo_response

 

I have tried to explain in simple steps how you can build your own chatbot using NLTK and of course it’s not an intelligent one.

I hope you guys have enjoyed reading.

Happy Learning!!!

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