Words vs. Concepts (word masks)
There are many differences between a word and its concepts (Word's Masks)
First: We have a new word classification:
(1) Enduring Business Themes (EBTs) that are enduring, stable, unified, continuous, and ultimate goals, each has a rule of conduct and essential discoveries words—for Example, Friendship, Love, Marriage, Thinking, Retaliation, and others.
(2) Business Objects (BOs) that are Stable internally and adaptable externally; each has a beginning and end, each has an ultimate goal that can be positive or negative, and each has a rule of conducts moderate level) and unknown to all. -- Unfortunately, many people don't know them.
Words. We add "Any" to each BO. For example -- Any Project, Any Proposal, Any Culture, Any Data, any others
(3) Industrial Objects (IOs) or Application Objects (AOs) are tangible and changeable. Unfortunately, and currently building and developing everything based on them. (Disasters), Well-known to most people, Has no value -- The strange thing is people say I love my car or smoking; some have side effects or high impacts on society, such as Oil, Drugs, and other concepts—for example, Specific Novels, Conference Tables, Mac Book, etc.
Concepts of BOs.
(4) EBTs + BOs = Core Knowledge. Our focus is on EBTs, BOs, and Core Knowledge words.
Second: Any word has many concepts (word's masks). Each word has many different concepts based on your education, background, beliefs, agenda, culture, etc.
Third: Any word is stable, and a concept is unstable over time.
Fourth: Any word is unified (Innovation and not known), and a concept is not. For example, any "Account" as a word, a bank account, email account, investment account, and others with different data and knowledge and unify as "an account." with more than 50 innovative keys. Each professional in the various account concepts knows an account's innovative (Creative) keys.
Fifth: Therefore, any word is stable, unified, and ultimate, and the Concepts of a word are changeable over time.
Unfortunately, all your knowledge you know is the concepts of the word "word's masks,"
https://www.linkedin.com/posts/fayad-founder-ceo_words-concepts-masks-activity-7096724059597516801-Fdny?utm_source=share&utm_medium=member_desktop
Differences between the two:
Word:
- A word is a basic unit of language that carries meaning and can stand alone or be combined with other words to form phrases and sentences.
- Words are typically represented as discrete symbols or strings of characters, and they form the building blocks of written and spoken language.
- In computational linguistics and NLP, words are often used as the fundamental units for various tasks, such as tokenization, part-of-speech tagging, and machine translation.
Word Concepts (Word Masks):
- Word concepts, also known as word masks or word embeddings, refer to vector representations of words in a high-dimensional semantic space.
- Word embeddings capture the semantic and contextual information of words by representing them as dense, real-valued vectors.
- Word embeddings are derived from large amounts of text data using techniques like word2vec, GloVe, or BERT.
- These vector representations allow computers to understand and relate words based on their similarities, analogies, and contextual relationships.
- Word embeddings have found widespread use in various NLP applications, such as information retrieval, sentiment analysis, and named entity recognition.
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