Natural language processing opened the door for semantic search on Google.
SEOs need to understand the switch to entity-based search because this is the future of Google search.
In this article, we’ll dive deep into natural language processing and how Google uses it to interpret search queries and content, entity mining, and more.
What is natural language processing?
Natural language processing, or NLP, makes it possible to understand the meaning of words, sentences and texts to generate information, knowledge or new text.
It consists of natural language understanding (NLU) – which allows semantic interpretation of text and natural language – and natural language generation (NLG).
NLP can be used for:
- Speech recognition (text to speech and speech to text).
- Segmenting previously captured speech into individual words, sentences and phrases.
- Recognizing basic forms of words and acquisition of grammatical information.
- Recognizing functions of individual words in a sentence (subject, verb, object, article, etc.)
- Extracting the meaning of sentences and parts of sentences or phrases, such as adjective phrases (e.g., “too long”), prepositional phrases (e.g., “to the river”), or nominal phrases (e.g., “the long party”).
- Recognizing sentence contexts, sentence relationships, and entities.
- Linguistic text analysis, sentiment analysis, translations (including those for voice assistants), chatbots and underlying question and answer systems.
The following are the core components of...
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