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Top 31 Focus Engineers on 22 Jul 2019 on Toogit. Focus Engineers on Toogit are highly skilled and talented. Hiring Focus Engineers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Focus Engineers on Toogit. Hiring Focus Engineers 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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Shubhanki Financial Data Mining with Excel Expertise, India
$25 /hr
4 Years Exp.
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I am a freelancer and a part time manager in a company which supplies construction materials in North East region of India where I look after daily op...Read More
Business Analyst/Data Analytics professional with 10+ years of relevant work experience in the arena of Business Analysis, Data Visualization, Data An...Read More
Mayank Tiwari Data analyst, India
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1 Years Exp.
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I am a freelancer work for offices.
Aditya P.Data Analyst, India
$50 /hr
8 Years Exp.
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I am working with Genpact(Gurgaon) as Data Analyst since 5 years. I maintain weekly/monthly reports depending upon the client's requirement. Tool...Read More
I m having four years of experience in business analysis to analyse web and app both platforms.
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Java is everywhere, in laptops, scientific supercomputers, gaming consoles, mobile phones, etc. Java is in all platforms and devices and in all countries around the world. It allows developers to make programs work just about anywhere. And it inspired the evolution of an incredible technology community. The brilliance of Java is that the platform independence. Java is simple to use, easy to write, compile, debug, and learn as compared to alternative programming languages. It also allows you to create reusable code and standard programs.

Java is a technology that constantly adapts to new needs these days, there’s a new release each six months or so. The most effective jobs go to Java developers who keep up with the constantly changing language and enhance their skill sets with complementary technologies.

Why Java developers are in demand?

Today, Java is the most popular choice for writing android apps. It’s also widely used in cloud applications, machine-learning environments, and internet of Things technology, Java developers need a wide range of skills, from a thorough information of the basics to an understanding of the latest developments. Java developers creates mobile apps, redesign the user experience on your public website, or keep business-critical applications on the cutting edge, everyone needs code; demand for Java developers is great. Banks and financial sector, automation systems, and other very big industrial sectors are writing their server apps for a long time in java and it will not even fade away soon.

Developing software takes time and planning. Before you start the development process, you’ll need to decide on the skills you need to induce your project off the ground. Most developers can have a grasp of the fundamentals associated with Java if it’s their primary programming language. However you'll be round-faced with those who’ll try and pass off theoretical information as practical experience.

There is a vast difference between the knowledge of a language and the practical application. Simply because a developer will explain a process doesn’t necessarily mean they can code a solution.

Hire a great java developer on Toogit

Hiring great coders or developers is one in all the toughest challenges. Toogit freelance platform provide easiest way to hire a top quality java developers just post your requirements on Toogit. Java Developers on Toogit are highly skilled and talented. Hiring Java Developers on Toogit is quite affordable as compared to a full-time employee and you can save up to 50% in business cost by hiring Java Developers on Toogit.

You are about to hire a Java Developer on Toogit but aren't sure if you have covered everything? I have gathered some important or effective recruiting strategy to hire new talent for your project.

  1. Write awesome job descriptions: Writing an excellent job description is a first step towards attracting top developers. A decent job description not only attracts candidates but the right candidates. Writing an excellent job description is not easy. And no, you simply cannot copy paste it from Google..! Writing your own and unique job description will effectively describe your project requirements and easily understandable for developers.
  2. Search top rank java developer: Toogit freelance platform have a large number of java developers, find high rated freelancers well experienced in project development and Good knowledge about latest technologies. A developer will usually list the versions they’ve used most recently on their CV, but if they don’t, bring up the topic in the interview if you want to know more. The most common version required as part of a tech stack is Java 8, the current LTS version of the language. This should be the primary focus when questioning a developer.
  3. Interview relevant candidates: The way you write job descriptions determines the standard of applications you receive. And, it’s the specific questions you ask in your interview process that helps you weed out the rest from the great ones. A quick interview will allow you to measure how strong every professional is in expressing concepts and explaining their method. The additional you speak to every professional by chat the better you’ll be able to gauge their expertness and communication skills and determine whether they’re right for your project.
  4. Decide the project cost and duration: It can be difficult for a client to understand the duration of a project and its cost, but a developer can sit down and discuss project scope, an inexpensive timeline, and any deliverables that you just will expect throughout the project’s development process.

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!!!

Kind words are worth much and cost little. This creates opportunity: when you can’t out-spend the competition, the solution is to out-support them.

 

Here are 14 tips from the support documentation of world leaders in providing best customer service. I hope these will help you in improving your customer service.

 

  1. Practice sympathy, Patience, and Consistency: Some of your customers will be full of queries, some just chatty, and others plain mad. You must be ready to handle all of them and provide the same level of service every time.
  2. Good customer Service may be a Continuous Learning process: Every customer is unique and each support situation is totally different. In order to handle surprises, sense a customer’s mood, address new challenges consequently, you've got to be willing to stay learning. Strive to have a deep understanding of your customer’s challenges and still search for better ways to deal with them.
  3. Train customer service agent for understanding product detail: The training and development program must cover all aspects of how to deal with issues, talk to customers, and resolve problems.  Apart from that, your team should believe in and understand your product before they are sent out with the task of pacifying a customer. If your team does not know the product or the service well enough, then they will not have enough knowledge to tackle an issue.
  4. Solving a problem as soon as possible: When customers complain, your team must acknowledge the issue quickly and try to resolve it timely.
  5. Use technology to assist them: Customer support can only be performed accurately if we mix the technology with the humanistic approach.
  6. Add live chat to your website: Live chat can help your customer support team to interact with the customer in depth so that the customer can get resolved his queries easily.
  7. Use customer service templates: It’s important to keep your standards high and your response times low. Don’t waste keyboard strokes for every basic and common question. Build professional templates so you can respond to customer with ease and professionalism.
  8. Maintain a positive attitude: It is very important that your team keep a positive and bright attitude when managing your customers. If you maintain an accommodating and inviting attitude, then you will easily avoid conflicts.
  9. Apologize for any inconvenience: Whatever the issue, and whatever role your company played in the issue, you need to apologize to the customer. If the consumer’s credit card did not work, tell them you’re sorry for their inconvenience or that it happened.
  10. Listen to your customer: One of the simplest ways in which to serve your customer is by listening to them from the beginning. Most customers contact or reach bent on your support team to when they want to convey a message or a problem. Therefore, the first and most important thing you can do is to hear them out completely.
  11. Never say “I don’t know”: When your team represents your business, they need to speak as if the business itself is speaking. So, once an executive says “no”, Customer instantly diminishes the value of your business. “No” isn't an answer. If a customer is facing a difficulty, then your team should try and resolve it, one way or another.
  12. Admit your mistakes: If you mess up, admit it, even if you discover your mistakes before your customers do. Admitting you messed up builds trust and restores your customer’s confidence in your service. It also allows you to control the situation, re-focus the customer’s attention, and fix the problem.
  13. Follow up after a problem is solved: Follow up with your customers to ensure their issues were resolved properly and that they were satisfied with the service. Give them a call, send them an email etc.
  14. Always close conversations correctly: Every conversation you close with a customer should end with you saying “Is there anything else I can do for you today? I’m happy to help!”

 

Everyone should be feeling the customer’s pain points. When your whole company is encouraged to be involved in customer service, knowledge of problems, bugs, and features becomes illuminated for the entire team. There’s no faster way to make improvements that drive your business forward.

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