A library associated with topic modeling algorithms like LDA.
Gensim is a Python library used for various NLP tasks, particularly those related to topic modeling. It is explicitly mentioned as the library used alongside LDA and NLTK for Long-Form Topic Modeling.
Gensim is also cited as being used in conjunction with spaCy and the OpenAI GPT-4 API for Keyword Clustering projects. In the architecture for ML-assisted search intent classification, a Gensim model is shown in conjunction with N-gram models for phrase detection.
Sources & References
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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
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…
G
Google Cloud Natural Language API
A versatile NLP API provided by Google Cloud with modules for entity identification, sentiment analysis,…