Chatbots Terms Glossary: Chatbots Terms in 2024
A
Actionable Insights
Actionable insights are meaningful and practical findings derived from the analysis of chatbot interactions and data.
Active Learning
Active learning is a technique in machine learning where an algorithm can interactively query a human or external source to obtain additional labeled data for training.
Active Listening
Active listening in chatbots refers to the ability to pay attention and understand user input, incorporating relevant information and context from the ongoing conversation.
Adversarial Attacks
Adversarial attacks are malicious attempts to manipulate or deceive a chatbot by exploiting its vulnerabilities, such as providing input designed to mislead or confuse the system.
Algorithm
An algorithm is a step-by-step procedure or set of rules for solving a specific problem or accomplishing a specific task.
Ambiguous Queries
Ambiguous queries are user inputs that are unclear or can have multiple interpretations, requiring chatbots to seek clarification.
Api (Application Programming Interface)
An API is a set of rules and protocols that allows different software applications to communicate and interact with each other.
Api Integration
API integration involves connecting a chatbot to external services or platforms through Application Programming Interfaces.
Artificial Intelligence (Ai)
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines.
Artificial Neural Networks (Ann)
Artificial Neural Networks (ANN) are computational models inspired by the biological structure and function of the brain, used for machine learning and pattern recognition.
B
Back-End Integration
Back-end integration involves connecting a chatbot to the back-end systems, databases, or APIs that provide data and services.
Backend
The backend refers to the server-side of a software application, which handles the processing and storage of data.
Backend Development
Backend development refers to the process of developing the server-side logic, databases, and APIs that power the functionality of a software application.
Backend System
The backend system of a chatbot consists of servers, databases, and other components that handle the processing and storage of data.
Bias
Bias refers to the tendency of a machine learning model to consistently make predictions that deviate from the true or expected values.
Bot Development Framework
A bot development framework is a collection of tools, libraries, and resources that provide an environment for building chatbots, including NLP capabilities, dialog management, and integration options.
Bot Persona
A bot persona refers to the personality, characteristics, or fictional identity given to a chatbot to create a more engaging and human-like interaction.
C
Chatbot
A chatbot is a computer program designed to simulate human conversation through voice commands or text chats.
Chatbot Platform
A chatbot platform is a software or service that provides tools, frameworks, or APIs for building, deploying, and managing chatbots.
Chatterbot
A chatterbot is a type of chatbot that uses predefined rules or patterns to generate responses, often without the use of machine learning or natural language understanding.
Chit-Chat
Chit-chat refers to casual and informal conversations between chatbots and users that are not necessarily goal-directed.
Closed Domain
In a closed domain chatbot, the conversation is limited to a specific topic or domain, such as customer service or FAQs.
Closed-Domain Chatbot
A closed-domain chatbot is focused on a specific domain or area of knowledge, providing specialized assistance or information within a defined scope.
Context
Context refers to the information or circumstances that surround an interaction or conversation.
Context Switching
Context switching refers to the ability of a chatbot to seamlessly transition between different conversational contexts or topics within a conversation.
Contextual Assistance
Contextual assistance refers to providing relevant and personalized support or information to users based on their specific situation, preferences, or needs.
Contextual Dialog Management
Contextual dialog management is the process of dynamically handling and tracking the progress of a conversation with a chatbot.
Contextual Embeddings
Contextual embeddings are vector representations of words or phrases that capture their contextual meaning within a sentence.
Contextual Understanding
Contextual understanding refers to the ability of a chatbot to interpret and respond to user queries by taking into account the context of the conversation.
Conversation Flow
The conversation flow refers to the sequence and structure of interactions between a chatbot and a user.
Conversation History
Conversation history is the record of past interactions between a user and a chatbot, often used to maintain context and continuity.
Conversational Agent
A conversational agent, also known as a chatbot or virtual assistant, is a software program designed to simulate natural language conversations with users.
Conversational Ai
Conversational AI is an area of AI that focuses on creating natural and interactive conversations between humans and machines.
Conversational Analytics
Conversational analytics involves the analysis of chatbot interactions and conversations to gain insights and improve the chatbot's performance, user experience, and effectiveness.
Conversational Design
Conversational design involves crafting the structure, flow, and language of a chatbot conversation to create engaging and effective interactions.
D
Data Annotation
Data annotation involves labeling or tagging the data used for training machine learning models, including chatbots.
Data Augmentation
Data augmentation is the technique of artificially increasing the amount of training data by applying various transformations or modifications to the existing data.
Deep Learning
Deep learning is a subset of machine learning that utilizes neural networks with multiple layers to extract and learn complex patterns from data.
Dependency Parsing
Dependency parsing is the process of analyzing the grammatical structure of a sentence to identify the relationships between words.
Dialog Management
Dialog management refers to the mechanism or system used to manage the flow and context of conversations in a chatbot.
Dialog System
A dialog system is a computational system that enables humans and machines to interact through conversation.
Domain Adaptation
Domain adaptation is the process of adapting a chatbot trained in one domain to perform well in a different but related domain.
Domain-Specific Chatbot
A domain-specific chatbot is designed to cater to a specific industry or field, such as healthcare or finance.
Domain-Specific Language Model
A domain-specific language model is trained specifically on data from a particular domain or topic, allowing it to generate more coherent and domain-specific responses.
Dynamic Programming
Dynamic programming is a mathematical optimization technique that solves complex problems by breaking them down into simpler overlapping subproblems.
E
Edge Case
An edge case refers to a rare or unusual scenario or input that is not commonly encountered but still needs to be handled correctly by a chatbot or AI system.
Emotion Detection
Emotion detection is the process of identifying and analyzing human emotions expressed in text or speech.
Emphatic Responses
Emphatic responses are tailored replies from chatbots that acknowledge and empathize with user emotions and concerns.
End-To-End Models
End-to-end models refer to models or systems that can perform a task from input to output without the need for explicit intermediate steps or components.
End-User Experience
End-user experience refers to the overall quality and satisfaction of users when interacting with a chatbot.
Entity
An entity is a specific piece of information or data that is relevant to a conversation or task.
Entity Extraction
Entity extraction is the process of identifying and classifying named entities in text, such as people, organizations, or locations.
Entity Recognition
Entity recognition is the process of identifying and categorizing key pieces of information, such as names, dates, or locations, from user input.
Error Analysis
Error analysis is the process of identifying and analyzing the errors or mistakes made by a machine learning model to improve its performance.
Ethical Considerations
Ethical considerations in chatbot development include issues related to privacy, bias, transparency, and responsible AI usage.
Evaluation Metrics
Evaluation metrics in chatbot development are used to assess the performance and effectiveness of chatbot models, such as accuracy, precision, recall, or F1 score.
Extrapolation
Extrapolation is the process of estimating values beyond the range or sequence based on known values at specific points.
F
Fallback Intent
Fallback intent is a default or backup intent used by chatbots when they cannot comprehend or handle a user's input.
Fallback Mechanism
A fallback mechanism is a backup or alternative action or response that is triggered when a chatbot or AI system is unable to understand or handle a user's input.
Fallback Response
A fallback response is a default or generic response provided by a chatbot when it is unable to understand or handle a user's input or query.
Frontend
The frontend refers to the client-side of a software application, which handles the user interface and user interactions.
Frontend Development
Frontend development refers to the process of developing the client-side components and user interface of a software application.
G
Generative Chatbot
A generative chatbot is capable of generating new responses that are not restricted to pre-defined templates or predefined knowledge.
Generative Model
A generative model is a type of chatbot model that generates responses from scratch based on the given input, usually using techniques like sequence-to-sequence models or transformers.
Graphical User Interface
The graphical user interface (GUI) is the visual interface that allows users to interact with a chatbot through buttons, menus, or other graphical elements.
H
Human-In-The-Loop
Human-in-the-loop refers to an approach in which human intervention is combined with automated systems, such as chatbots.
Hybrid Model
A hybrid model combines different approaches, such as rule-based and machine learning, to improve the performance of a chatbot.
I
Incremental Learning
Incremental learning is an approach where a chatbot continues to learn and improve its performance over time as it interacts with users and receives feedback.
Intent
Intent is the goal or purpose behind a user's input or query in a conversation.
Intent Classification
Intent classification is the task of assigning predefined intent labels to user queries or statements during a conversation.
Intent Extraction
Intent extraction is the process of extracting the intended meaning or purpose from a user's input in a conversation.
Intent Ranking
Intent ranking is the process of ranking or prioritizing multiple possible intents for a given user query in a chatbot.
Intent Recognition
Intent recognition is the process of identifying the purpose or goal behind a user's input in a conversation.
Intent Resolution
Intent resolution is the process of determining the specific intent or action to be performed based on the user's input in a conversation.
Intent Slot
An intent slot is a parameter or placeholder used to capture specific information or variables from user input, related to the user's intention or query.
Interpolation
Interpolation is the process of estimating values within a range or sequence based on known values at specific points.
J
Json (Javascript Object Notation)
JSON is a lightweight data-interchange format that is easy for humans to read and write, and easy for machines to parse and generate.
K
Knowledge Base
A knowledge base is a repository of information used by chatbots to provide accurate and relevant responses.
Knowledge Graph
A knowledge graph is a graphical representation of information and relationships between entities, often used in chatbots for knowledge retrieval.
L
Linguistic Features
Linguistic features refer to specific aspects of language, such as syntax, semantics, or sentiment, that can be extracted and analyzed in chatbot applications.
M
Machine Learning
Machine learning is the field of study that provides computers the ability to learn and improve from experience without being explicitly programmed.
Machine Learning Pipeline
A machine learning pipeline is a sequence of steps that process input data, including preprocessing, feature extraction, model training, and evaluation.
Machine Translation
Machine translation is the use of machine learning and natural language processing techniques to automatically translate text or speech from one language to another.
Message
A message in chatbots represents a unit of communication between the chatbot and the user, containing input or output text.
Model Evaluation
Model evaluation is the process of assessing the performance and effectiveness of a machine learning model against a set of metrics or criteria.
Model Training
Model training refers to the process of training a machine learning model on labeled or annotated data to learn patterns and make predictions.
Multi-Modal Chatbot
A multi-modal chatbot can process and generate responses in different modalities, such as text, speech, or images.
Multi-Task Learning
Multi-task learning is a technique where a chatbot is trained to perform multiple tasks or intents simultaneously.
Multi-Turn Conversation
A multi-turn conversation refers to a conversation that involves multiple back-and-forth exchanges or turns between the chatbot and the user.
Multi-Turn Conversations
Multi-turn conversations refer to interactions between users and chatbots that involve multiple exchanges or turns.
Multilingual Chatbot
A multilingual chatbot is capable of understanding and responding to user input in multiple languages, enabling communication with users from different linguistic backgrounds.
N
Named Entity Recognition
Named Entity Recognition (NER) is the process of identifying and classifying named entities in text, such as people, organizations, or locations.
Named Entity Recognition (Ner)
Named Entity Recognition (NER) is the process of identifying and extracting named entities, such as names, organizations, or locations, from text.
Natural Language Processing
Natural Language Processing (NLP) is a subfield of AI that focuses on the interaction between computers and human language.
Natural Language Processing (Nlp)
Natural Language Processing (NLP) is a branch of AI that focuses on the interaction between computers and humans using natural language.
O
Open Domain
In an open domain chatbot, the conversation is not limited to a specific topic and can cover a wide range of subjects.
Open-Domain Chatbot
An open-domain chatbot is designed to handle a wide range of user inquiries and conversations, without being limited to a specific domain or topic.
Optical Character Recognition (Ocr)
Optical Character Recognition (OCR) is a technology that extracts text from images or scanned documents, allowing chatbots to process and analyze textual content from visual sources.
Out-Of-Vocabulary (Oov)
Out-of-vocabulary (OOV) refers to words or terms that are not present in the vocabulary or training data of a chatbot or machine learning model.
Overfitting
Overfitting is a phenomenon in machine learning where a model performs well on training data but fails to generalize to new, unseen data.
P
Paraphrasing
Paraphrasing is the process of restating or expressing the same meaning of a sentence or phrase in different words, often used in chatbot responses to provide variety or clarity.
Pipeline Architecture
Pipeline architecture refers to the design and structure of a chatbot or machine learning system that consists of multiple stages or components for processing and generating responses.
Preprocessing
Preprocessing refers to the cleaning and transformation of raw text data before it is used for training or inference in a chatbot system.
Pretrained Models
Pretrained models are machine learning models that are trained on large datasets and can be used as a starting point for training or fine-tuning chatbot models.
Prompt Engineering
Prompt engineering involves designing and selecting the right prompts or user instructions to elicit desired responses from a chatbot.
R
Reinforcement Learning
Reinforcement learning is a machine learning technique where an agent learns to take actions in an environment to maximize rewards or minimize penalties.
Response Generation
Response generation is the process of generating appropriate and contextually relevant responses to user inputs in a conversation.
Retrieval-Based Model
A retrieval-based model is a type of chatbot model that utilizes predefined responses or templates and retrieves the most suitable response based on the user's input or query.
S
Self-Learning
Self-learning chatbots employ techniques such as reinforcement learning or online learning to continuously improve their performance and understand user preferences.
Semantic Analysis
Semantic analysis in chatbots refers to the process of understanding the meaning and intent behind user input, often using techniques like parsing and semantic role labeling.
Semi-Supervised Learning
Semi-supervised learning is a machine learning technique that combines labeled and unlabeled data to train a model.
Sentiment Analysis
Sentiment analysis is the task of determining the emotional tone or sentiment expressed in text, such as positive, negative, or neutral.
Sequential Model
A sequential model is a type of machine learning model that processes input data in a sequential manner, such as recurrent neural networks (RNNs) or transformers.
Service Chatbot
A service chatbot is designed to assist users with specific tasks, provide information, or perform actions related to a particular service or business domain.
Slot Filling
Slot filling is a technique used in chatbots to extract specific information from user inputs and fill in predefined slots in a dialog.
Small Talk
Small talk refers to casual, non-task-oriented conversation often used in chatbots to establish rapport, create a more engaging user experience, or handle ambiguous queries.
Social Chatbot
A social chatbot is designed to simulate conversation and interaction similar to human-to-human conversation, focusing on providing meaningful and engaging exchanges.
Speech Recognition
Speech recognition is the technology that enables machines to convert spoken language into written text.
Speech Synthesis
Speech synthesis, also known as text-to-speech (TTS), is the process of converting written text into spoken words.
Stateful Chatbot
A stateful chatbot is a chatbot that keeps track of the conversation history, user context, and system state, allowing for more sophisticated and personalized interactions.
Supervised Learning
Supervised learning is a machine learning technique where a model learns from labeled training data to make predictions or classifications.
Synonym Detection
Synonym detection in chatbots involves identifying different words or phrases that have similar or equivalent meanings.
System Architecture
The system architecture of a chatbot refers to the overall structure, components, and interactions between various modules or systems that make up the chatbot.
T
Text Classification
Text classification is the task of categorizing text into predefined classes or categories based on its content.
Tokenization
Tokenization is the process of breaking down a given text into smaller units or tokens, such as words or characters.
Transfer Learning
Transfer learning is a technique in machine learning where knowledge gained from one task is applied to a different but related task.
Transfer Rule
A transfer rule in chatbots is a predefined rule or instruction that determines how to handle a conversation when transitioning between two different topics or domains.
Transferability
Transferability refers to the ability of a model, knowledge, or skill to be transferred or applied to a different task, domain, or context.
U
Unsupervised Learning
Unsupervised learning is a machine learning technique where a model learns from unlabeled data to discover patterns, relationships, or representations.
User Engagement
User engagement refers to the level of interaction, interest, and satisfaction users have when interacting with a chatbot.
User Experience (Ux)
User Experience (UX) refers to the overall experience or satisfaction a user has while interacting with a software application.
User Intent Detection
User intent detection is the process of determining the underlying intent or purpose behind a user's query or statement in a conversation.
User Intent Prediction
User intent prediction in chatbots involves predicting the user's intention or goal based on partial or incomplete input, allowing the chatbot to proactively assist the user.
User Interface (Ui)
User Interface (UI) refers to the visual components or elements that allow users to interact with a software application.
User Interface Design
User interface design involves designing the visual and interactive elements of a chatbot to enhance user experience and usability.
User Persona
A user persona is a fictional character that represents the characteristics and behaviors of a typical user, used to guide chatbot design and development.
User Query
A user query is a question, request, or input made by a user in a conversation with a chatbot or AI system.
User Simulator
A user simulator is a program or system that emulates the behavior of end users to test and evaluate chatbot performance.
Utterance
An utterance refers to a spoken or written statement made by a user during a conversation with a chatbot.