A versatile NLP API provided by Google Cloud with modules for entity identification, sentiment analysis, entity sentiment, content moderation, text classification, and syntax analysis.
Google Cloud AutoML is a platform or tool that allows users to custom-train or fine-tune pre-trained models, such as those within the Google Cloud Natural Language API. It is specifically highlighted as the mechanism required if a user wants to assign custom classification classes (labels) to text when using Google Cloud NLP, rather than relying solely on the 700+ categories provided out-of-the-box.
Sources & References
Explore other APIs terms
A
Amazon Comprehend
An NLP API mentioned for various text analysis tasks including entity extraction, sentiment analysis, and…
A
Apps Script
An integration option that allows for the incorporation of automation with Google Cloud's APIs, useful…
C
ChatGPT / GPT-4 (OpenAI)
Generative AI models/APIs used for tasks like content transformation and comparison in entity extraction, but…
D
DataForSEO API
A set of APIs for keyword research and SERP analysis, including SERP API, Keywords Data…
D
Deepseek R1
A newer generative AI chatbot used in entity extraction comparisons.
E
Elasticsearch
Mentioned as a tool/API example for fuzzy matching and product name standardization.
F
FuzzyWuzzy/RapidFuzz/PolyFuzz
Python libraries/algorithms specifically used for fuzzy string matching.
G
Gemini (Google)
A generative AI model (LLM) used for tasks like content transformation and extraction of insights/summaries.
G
Gensim
A library associated with topic modeling algorithms like LDA.
G
Google Autocomplete APIs
Offer easy access to real-time keyword suggestions across various Google platforms (Search, YouTube, Maps, Merchant).
G
Google Cloud
The system hosting various Google APIs, including the Natural Language API and Knowledge Graph API.
G
Google Cloud AutoML
A tool used to fine-tune pre-trained models on specialized domains/data (e.g., specializing Google's classification for…