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GLOSSARY
Algorithm: It is a step-by-step approach to identify and solve a problem in a finite time.
Bag-of-Words (BoW): A model that represents text as a collection of word frequencies, ignoring
grammar and word order, but keeping track of word occurrences.
Control Structures: Control structures are a set of instructions that controls the flow of instructions
in a program.
Contour: A curve joining continuous points in an image that have the same color or intensity.
Data Acquisition: It means collecting raw data for the purpose of reference or analysis for the
project.
Modelling: It is the process of designing decision-making algorithms that has to be trained on a set
of data and apply that learning to recognise certain types of patterns.
Data Visualization: It is an easier way to understand the trends and patterns in data by using
graphical representation tools like charts and graphs.
Flowchart: A flowchart is a graphical representation of an algorithm that makes use of symbols
which are connected through arrows to show the direction of flow of information.
Human-Machine Interaction (HMI): It can be defined as the communication or interaction between
humans and machines through a user interface to fulfill a specific task or operation.
Lemmatization: Similar to stemming, but it reduces words to their base or dictionary form
(e.g., "better" → "good"), considering the context.
Neural Networks: These are a series of algorithms used to recognise hidden patterns in raw data,
cluster and classify it, continuously learn and improve.
Python: It is a general-purpose, object oriented, easy to learn and high-level programming language.
Stemming: A technique used to reduce words to their root form (e.g., "running" → "run"). It helps
normalize words for analysis.
Virtual Assistant: It is an application that we use to control our smart home is a prime example of
AI impacting our daily lives.
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