Life & fun · alternatives · 2026
24 alternatives to MonkeyLearn – Text Mining Made Easy
MonkeyLearn is a text mining platform that helps organizations extract insights from unstructured text data. It enables users to build and deploy machine learning models for tasks like sentiment analysis, topic… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. MonkeyLearn – Text Mining Made Easy launched in 2015; newer entries below may have overtaken it.
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MonkeyLearn 3.0▲363Get actionable data from text with machine learning
2018 · medallia.com · its alternatives →
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Simple and customizable text classification with AI
2019 · monkeylearn.com · its alternatives →
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Automate workflows in 1,000+ apps with text analysis
2019 · monkeylearn.com · its alternatives →
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Power up your Google Sheets with text analysis
2019 · monkeylearn.com · its alternatives →
- 6NL
Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…
2022 · its alternatives →
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TagTeam▲109Natural Language Processing API for unstructured text.
2022 · tagteam.ai · its alternatives →
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RegexLearn▲328Learn RegEx step by step, from zero to advanced
2021 · regexlearn.com · its alternatives →
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TLDR: I’ve made a transformer model and a wrapper library that segments text into meaningful semantic chunks. The current text splitting approaches rely on heuristics (although one can use neural embedder to group semantically related sentences). I propose a fully neural approach to semantic chunking. I took the base distilbert model and trained it on a bookcorpus to split concatenated text paragraphs into original paragraphs. Basically it’s a token classification task. Model fine-tuning took day and a half on a 2x1080ti. The library could be used as a text splitter module in a RAG system or…
2025 · github.com · its alternatives →
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DeepTagger▲386Hi HN, I built a tool for teaching LLMs how to extract structured data from documents by annotating, not prompt engineering. I’d love your feedback. How it works: - Upload a document (DOCX, PDF, image, etc.) - Select and tag parts of it (supports nesting, arrays, custom tag structures) - Upload another document → click "predict" → see editable annotations - Amend them and save as a new example - Call the API with a third document → get JSON back Use cases: - Identify "important clauses" in contracts - Extract "total value" from invoices - Anything subjective, like "healthy ingredients" on a…
2025 · deeptagger.com · its alternatives →
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Supercharge your Excel spreadsheets with Text Analysis
2019 · monkeylearn.com · its alternatives →
- 12TN
2013 · textblob.readthedocs.org · its alternatives →
- 13AE
2014 · aylien.com · its alternatives →
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Automatically tag tickets in Zendesk using Machine Learning.
2018 · zendesk.com · its alternatives →
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Deep Talk▲104No-Code AI/NLP platform for text data analysis 🧠
2022 · deep-talk.ai · its alternatives →
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:speech_balloon: Machine Learning Course with Python: - GitHub - instillai/machine-learning-course: :speech_balloon: Machine Learning Course with Python:
2019 · github.com · its alternatives →
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New AI classifier for indicating AI-written text
2023 · openai.com · its alternatives →
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Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…
2022 · nlpdemystified.org · its alternatives →
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Hey HN! I posted this on April 1st when it launched, and though it didn't get traction here, it was a minor hit on reddit! Now that we've got a few thousand monkeys under our belt, wanted to give it another shot here! Happy to talk about the technical details of running the site - using supabase/postgres and constantly putting out fires from the traffic.
2025 · monkeys.zip · its alternatives →
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A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen
2020 · github.com · its alternatives →
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GoLearn▲81Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.
2014 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →