Octolens: Social Listening For B2B SaaS & Developer Brands vs Spark NLP
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is a Natural Language Processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines that scale easily in a distributed environment. It comes with 160+ pretrained pipelines and models in more than 20+ languages. | Track brand mentions on Reddit, X, LinkedIn, GitHub & more. AI filters noise so you only see relevant conversations. Full access to your data via API, Webhooks, and MCP. Trusted by Lovable, Vercel, PostHog, and 1000+ B2B SaaS & Developer teams. |
Tokenization;
Stop Words Removal;
Normalizer;
Stemmer;
Lemmatizer;
NGrams;
Regex Matching;
Text Matching;
Chunking;
Date Matcher;
Part-of-speech tagging;
Sentence Detector;
Dependency parsing (Labeled/unlabled);
Sentiment Detection (ML models);
Spell Checker (ML and DL models);
Word Embeddings (GloVe and Word2Vec);
BERT Embeddings;
ELMO Embeddings;
Universal Sentence Encoder
Sentence Embeddings;
Chunk Embeddings | social listening, social monitoring, podcast monitoring, newsletter monitoring, media monitoring, webhooks, API, AI triage |
Statistics | |
GitHub Stars 4.1K | GitHub Stars - |
GitHub Forks 733 | GitHub Forks - |
Stacks 28 | Stacks 0 |
Followers 38 | Followers 2 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |
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