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MarketingAlternative to BrandwatchAlternative to TalkwalkerAlternative to MonkeyLearn

Top2Vec

Top2Vec learns Jointly Embedded Topics, Documents, and Words for automatic search and discovery.

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LicenseBSD-3-Clause
GitHub stars2.8k
Last commit6 days ago
Tags5 topics
Document Clustering NlpSemantic Topic DiscoveryTop2vec PyMarketingAutomated Topic Modeling
Overview

Why consider Top2Vec?

Top2Vec is an open-source topic modeling and semantic search framework written in Python by Dimo Angelov. Top2Vec detects latent semantic themes across customer surveys, articles, and reviews without requiring pre-specification of topic counts or stopword pruning.

Guided learning

Learn Top2Vec by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Top2Vec

Top2Vec discovers unprompted customer interest trends and discussion clusters in raw text datasets.

Quickstart

bash
1pip install top2vec
python
1from top2vec import Top2Vec
2model = Top2Vec(documents)
3topic_sizes, topic_nums = model.get_topic_sizes()

Top2Vec is licensed under the BSD 3-Clause License.

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Top2Vec FAQs

Top2Vec is listed as a Marketing tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Top2Vec is listed under the BSD-3-Clause license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Top2Vec is listed as an alternative to Brandwatch. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.