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Top 23 Chatbot Developers on 14 Oct 2019 on Toogit. Chatbot Developers on Toogit are highly skilled and talented. Hiring Chatbot Developers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Chatbot Developers on Toogit. Hiring Chatbot Developers on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Prashanth R.Business Analyst, India
$4 /hr
1 Years Exp.
0 Followers
I have 5 years of experience in call reviewing in Humanatic online company [call box].
Jacob L.Customer Service Specialist, Kenya
/hr
1 Years Exp.
0 Followers
Excellent communication skills and Customer Service background. Exceptional organizational and problem solving skills. Proven track record in cust...Read More
Yam O.Advanced Technical Support, Philippines
$10 /hr
4 Years Exp.
0 Followers
I was a Data Analyst and Sales Represenative for 3years. And now I am currently an Advanced Technical Support.
Chevonne B.Telemarketer, Canada
$35 /hr
3 Years Exp.
0 Followers
Young adaptable professional with good people skills
I have been in the BPO industry for almost 3 years now, Working with Telecom service company in the United States. I worked as a customer service rep...Read More
Jerome B.Heart. Discipline. Work. Commitment., Philippines
$5 /hr
3 Years Exp.
0 Followers
My objective is to be one of the dependable professionals, in ways of providing constantly excellent worth of work. Firstly, I am a graduate of Ba...Read More
Paul Jordan U.Customer Service Specialist, Philippines
$15 /hr
13 Years Exp.
0 Followers
I have 13 years of Customer Service experience through phone, email and chat. I am capable of working independently and develop processes to make t...Read More
Jp Data Analyst, Virtual Assistant, Philippines
$3 /hr
4 Years Exp.
0 Followers
Experienced Customer services Representative for 3 years with back office work experience in healthcare business. Familiar with all standard tools and...Read More
Marc Rafael S.Chat/E-mail Support Agent, Philippines
$5 /hr
2 Years Exp.
0 Followers
I am able to provide excellent customer support via chat/e-mail with great efficiency.
Kier Ivan ESL Instructor, Philippines
$2 /hr
2 Years Exp.
0 Followers
I am excellent in written and verbal communication skills, highly trustworthy, discreet, and ethical.
Xam K.Customer and admin support expert, Pakistan
$4 /hr
5 Years Exp.
0 Followers
Hi There, Hope you are doing great. My name is Danish and I am a business graduate. I have done many projects of customer and Admin Support...Read More
Jen P.Fraud Analyst, Risk Management, Philippines
$10 /hr
6 Years Exp.
0 Followers
Chats, emails and calls.
Abhradeep G.Customer Relationship Management, India
$6 /hr
2 Years Exp.
0 Followers
Hi I am a customer relationship manager with 2 years of experience in this field. I am adept at multi-tasking, email handling, chat support and overal...Read More
Chintamani P.Technical Support Engineer, India
$3 /hr
7 Years Exp.
0 Followers
A Technical graduate with 7+ years of Experience in IT Industry ,Currently working as Product support Specialist with hands on experience in manual te...Read More
Frederick Email and Chat Support Specialist, Philippines
$10 /hr
7 Years Exp.
0 Followers
I was an employee of well known companies of the BPO Industry here in the Philippines. Of the 7 years of experience, I handled different accounts doi...Read More
Tareq Chat Supporter, Jordan
$15 /hr
5 Years Exp.
0 Followers
I want to help people through chat, I want to be a chat supporter, more like an agent. My English is good enough to do this task, I'm capable o...Read More
Megha Customer Chat Support , Merchandiser, India
$34 /hr
3 Years Exp.
0 Followers
I am Graduate from NIFT,India .2+ years of experience as a designer and customer chat support
Licensing Control Support / SPRINGER NATURE • Reviews and handles contracts for client, signature and also invoices. • Processing all client closure...Read More
Juayne A.Email/Chat Support - English, Philippines
$10 /hr
6 Years Exp.
0 Followers
I am a scholar in the field of BS Electronics and Communications Engineering with a certificate of English Excellency from a qualified training center...Read More
Lloyd Clerk , Philippines
$6 /hr
6 Years Exp.
1 Followers
i am currently working in the Human Resource Management & Development Office of the Local Government Unit of one of the Cities in the Philippines...Read More
Christian Ang Chat Support/Transcriptionist, Philippines
$6 /hr
5 Years Exp.
0 Followers
I am a certified transcriptionist and Email/Chat support representative for five years.
Neckool B.Business Minded, Philippines
$10 /hr
2 Years Exp.
1 Followers
I am a professional with regards to this line of business.
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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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