# \[ANN\] LLMTextAnalysis.jl - Unveil Text Insights with LLMs!

**URL:** <https://discourse.julialang.org/t/ann-llmtextanalysis-jl-unveil-text-insights-with-llms/108705>\
**Category:** Package Announcements\
**Tags:** announcement, ai, llm\
**Created:** [January 11, 2024, 8:58pm UTC](https://discourse.julialang.org/t/ann-llmtextanalysis-jl-unveil-text-insights-with-llms/108705 "2024-01-11T20:58:13Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![svilupp](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/svilupp/32/34933_2.png) [@svilupp](https://discourse.julialang.org/u/svilupp)\
**Post date:** [January 11, 2024, 8:58pm UTC](https://discourse.julialang.org/t/ann-llmtextanalysis-jl-unveil-text-insights-with-llms/108705/1 "2024-01-11T20:58:13Z")

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We’re excited to introduce [LLMTextAnalysis.jl](https://github.com/svilupp/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:

1. **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.
2. **Swift Theme Extraction** : Dive into your data and uncover key themes in minutes, saving valuable time and effort.
3. **Interactive Exploration** : With tools like PlotlyJS (and, hopefully, Makie.jl in the future), it offers an engaging way to interact with your data.
4. **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](https://forem.julialang.org/svilupp/genai-mini-tasks-interactive-topic-explorer-with-llmtextanalysisjl-3e1f) or the interactive example in the [docs](https://siml.earth/LLMTextAnalysis.jl/dev/examples/1_topics_in_city_of_austin_community_survey/).

Give LLMTextAnalysis.jl a try and step into a new realm of insights! 🌟📊

PS: There are a few more features to come!

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**Author:** ![svilupp](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/svilupp/32/34933_2.png) [@svilupp](https://discourse.julialang.org/u/svilupp)\
**Post date:** [January 17, 2024, 9:03pm UTC](https://discourse.julialang.org/t/ann-llmtextanalysis-jl-unveil-text-insights-with-llms/108705/2 "2024-01-17T21:03:03Z")

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Hey everyone! 👋

I’m excited to share that I’ve just released a new version with some extra functionality.

I showcase the functionality in my latest blog post titled “Concepts to Spectrums: Unleashing Julia’s Power in Text Analysis”, where I explore the distinction between ‘Concept’ and ‘Spectrum’ in text analysis using LLMTextAnalysis.jl. This post has a practical example and a step-by-step guide to mastering these new tools.

Check it out here: [“Concepts to Spectrums: Unleashing Julia’s Power in Text Analysis”](https://forem.julialang.org/svilupp/concepts-to-spectrums-unleashing-llms-power-in-text-analysis-2j05). Looking forward to your thoughts and feedback! 🚀📊