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Task #Digital Literacy
Learn to create your first chatbot using https://botsify.com/
Watch the following videos:
• Botsify Tour In 90 Seconds - https://www.youtube.com/watch?v=Q0_xuMToKQM
• How To Create A Weather Bot With Botsify - https://www.youtube.com/
watch?v=G9oxXIMxREw
At a Glance
• Machines rely on human efforts and serve human needs, but lack human understanding.
• Natural Language Processing (NLP) enables machines to understand and interact with human language.
• IBM Project Debater demonstrates AI's ability to engage in complex conversations and debates.
• NLP involves segmenting sentences and extracting meaning from unstructured human language.
• Emotion detection and sentiment analysis are distinct NLP techniques, offering insights into human
communication.
• Classification problems in Natural Language Processing (NLP) involve assigning labels to text, sentences, or
phrases based on their content.
• NLP is a subfield of Artificial Intelligence (AI) that enables computers to understand, generate, and enhance
human speech.
• A winning Project Debate can be prepared and presented by following understanding, reasoning, learning,
and interacting.
• An entity can be real-world objects such as names, locations, organisations, or dates.
• A relationship can be defined as a collection of two or more entities that share a strong bond with one
another.
• Understanding and linking different parts of the text is known as coreference resolution.
• A concept is an idea suggested or implied in a sentence but not actually stated.
• Sentiment analysis is a text classification task that determines if subjective information is favourable, negative,
or neutral.
• Emotion detection employs machine learning to examine complicated emotions such as fear, anger, sadness,
love, and frustration.
• Classification problems include assigning a label or category to a piece of text, sentence, or phrase based
on its content.
• Chatbots are software applications or computer programs that simulate conversation with human user,
usually via text or voice interactions.
• A chatbot’s frontend is the messaging channel through which users interact, and it has an easy-to-use
interface.
• The backend of a chatbot is where the hard work happens.
• An intent is a purpose that explains why a user is contacting the chatbot.
• A dialog is like a flowchart – an IF/THEN tree structure that shows how a computer will react to user intents.
Leveraging Linguistics and Computer Science 387

