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Chatterbot is more popular in relation to chatbot who talk a lot, and is not necessary very intelligent in processing the user answers. Setting up a web-based chatbot requires at least minimal experience with HTML, Java Script and Artificial Intelligence Markup Language (AIML).

Chat bot is used by technical people who consider the word ‘bot’ as a normal term for ‘robotised actions’, and for them ‘chat bot’ is a special kind of bot. won many honors and awards in various NLP contests, such as Loebner prize, The Chatterbox challenge, and BCS Machine Intelligence Competition. Additionally, any sort of “fancy” features, such as Text To Speech, or an animated avatar, would have to be created and integrated into your chatbot’s page, and certain features, such as voice recognition, are either unavailable, or are severely limited.

It will know your surroundings, your personal history, your culture and language.

It will become useful in ways we cannot yet comprehend or imagine.

The process is so easily accomplished that Amazon says the company “constantly discovers products with Alexa baked in that no one at the company heard about before.”[xiii]Alexa powered Echo is Amazon’s “third-best-selling gadget.”[xiv] Alexa may not be as versatile as Siri — yet — but it turned out to have a distinct advantage: “a sense of purpose, and of its own limitations. ”[xv]The cheat sheet’s effect is to “lower expectations to a level that even a relatively simplistic artificial intelligence can plausibly meet on a regular basis.”[xvi]Facebook Zuckerberg said at Facebook’s 2016 annual developers conference in San Francisco that one key goal “is advancing artificial intelligence technology and building systems that are better than people in perception.”[xvii] These systems will recognize and explain objects in an image or understand speech when spoken to.” Facebook’s photo-sharing app, Moments, “uses facial recognition to understand human faces in pictures.”[xviii]Zuckerberg “unveiled the launch of the new messenger platform to build AI bots, enabling developers to build natural language services to communicate with people.

Now almost every leading software manufacturing hub out there has it’s own AI assistant which work just like or even better than Siri. Talking to technology has taken a whole new level since Amazon has announced their voice assistant Alexa and opened up their platform for developers to build custom bots just like when Apple announced about app store for developers to create and sell apps.Here is a video example of a Facebook Messenger chatbot, from David Marcus, VP Messaging at Facebook (starts around 7m19s).Chatbot technology will adapt to us, and creating personal chatbots will be as easy as changing the settings on your Facebook account, or adding an inbox filter to your email.On Windows, follow these installation instructions. The bot uses a My SQL database to store the information about the conference and uses the following python modules:1. flask-mysql You can install these modules by running the following command,pip install flask-ask flask flask-mysql Now create a file called conference.py, and use the snippet of the code I have written to build your server side logic.__author__ = 'krishnateja'import loggingfrom flaskext.mysql import My SQLfrom flask import Flask, render_templatefrom flask_ask import Ask, statement, questionmysql = My SQL()app = Flask(__name__)app.config.from_object(__name__)app.config[' MYSQL_DATABASE_USER'] = 'xxxxxxx'app.config[' MYSQL_DATABASE_PASSWORD'] = 'xxxxxxx'app.config[' MYSQL_DATABASE_DB'] = 'xxxxxxxx'app.config[' MYSQL_DATABASE_HOST'] = 'xxx.xxx'mysql.init_app(app)ask = Ask(app, "/")Logger("flask_ask")Level(logging.Flask-Ask (https://flask-ask.readthedocs.io/en/latest/)2. DEBUG)@ask.launchdef new_conference(): welcome_msg = render_template('welcome') return question(welcome_msg)@ask.intent("Speaker Intent")def ask_if_speaker(speaker_name): speaker_name = speaker_name cursor = mysql.connect().cursor() cursor.execute( "SELECT * from JOIN conference.speaker " "ON speaker = conference.speaker.speakerid " "JOIN " "ON slot = slotid " "WHERE conference.LIKE '%" speaker_name "%';") data = cursor.fetchall() if data is None: message = "There was no speaker by that name." else: hours_start, remainder = divmod(data[13].seconds, 3600) minutes_start, seconds_start = divmod(remainder, 60) time_start = str(hours_start) ":" str(minutes_start) hours_end, remainder = divmod(data[14].seconds, 3600) minutes_end, seconds_start = divmod(remainder, 60) time_end = str(hours_end) ":" str(minutes_end) message = "Session that you are looking for is " data[ 2] " which starts at " time_start " and ends at " time_end ", given by " data[9] return statement(message)if __name__ == '__main__': app.run(debug=True, port=8080)This starts a server on localhost:8080.

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