We’re excited to introduce LLMTextAnalysis.jl, a humble yet powerful addition to your text analysis toolkit. Not intended to compete with established tools like TextAnalysis.jl, this LLM-powered cousin complements your existing resources, offering a targeted and efficient approach to uncovering textual insights.
Why LLMTextAnalysis.jl stands out:
- Semantic Depth: By translating texts into numerical ‘embeddings’, it captures semantic nuances, allowing for a more profound understanding of the text than just grabbing keywords.
- Swift Theme Extraction: Dive into your data and uncover key themes in minutes, saving valuable time and effort.
- Interactive Exploration: With tools like PlotlyJS (and, hopefully, Makie.jl in the future), it offers an engaging way to interact with your data.
- Zoom In/Out on Topic Depth: Whether you need a bird’s-eye view of themes or a deep dive into text specifics, this tool adapts to your requirements, treating “topics” like a sliding scale that you can go up and down on.
Check out the blog post on Forem or the interactive example in the docs.
Give LLMTextAnalysis.jl a try and step into a new realm of insights!
PS: There are a few more features to come!