Mentioned as a tool/API example for fuzzy matching and product name standardization.
Elasticsearch is mentioned as an API/tool suitable for implementing fuzzy matching applications. It is cited as a tool that can be used for Product Name Standardization.
Elasticsearch typically works by detecting keywords in a dataset for targeted SEO analysis, using algorithms like Boyer-Moore. It is also listed as a suitable API for tasks such as Internal Link Anchor Text & Page Title Similarity analysis.
Sources & References
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Amazon Comprehend
An NLP API mentioned for various text analysis tasks including entity extraction, sentiment analysis, and…
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Apps Script
An integration option that allows for the incorporation of automation with Google Cloud's APIs, useful…
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ChatGPT / GPT-4 (OpenAI)
Generative AI models/APIs used for tasks like content transformation and comparison in entity extraction, but…
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DataForSEO API
A set of APIs for keyword research and SERP analysis, including SERP API, Keywords Data…
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Deepseek R1
A newer generative AI chatbot used in entity extraction comparisons.
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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.
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Gensim
A library associated with topic modeling algorithms like LDA.
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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…
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Google Cloud Natural Language API
A versatile NLP API provided by Google Cloud with modules for entity identification, sentiment analysis,…