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Unlock the potential of your text data with Large Language models.

Analyze millions of texts (messages, emails, news headlines) in a matter of seconds and generate insights like a pro.

(A thread) ๐Ÿ‘‡๐Ÿงต
Presenting Topically by Cohere AI

Topically is a suite of tools that help make sense of text collections (messages, articles, emails) using large language models.

It is the part of the sandbox project by Cohere AI.

๐Ÿ‘‰ dashboard.cohere.ai/welcome/register?utm_source=influencer&utm_medium=social&utm_campaign=shubham
Topically comes up with the following features out-of-the-box:

1. Detect and name clusters of short texts based on their content.

2. Use it with topic modeling with tools like BERTopic to improve on the keyword topic labels.
Example-1: Identifying topics from the news headlines of the machine learning and investing subreddits.
Example-2: Use topically with BERTopic to identify the clusters and improve on the topic names.
How does it work?

Topically uses a generative language model to assign a name to the text cluster. It sends a request to Cohere's managed model and gets the output.

It generates the titles using a couple of bundled prompts. For better results, you can even edit the prompts.
All you need to try this interesting tool is cohere's API key and a few lines of Python code.

Get the API key here ๐Ÿ‘‰ dashboard.cohere.ai/welcome/register?utm_source=influencer&utm_medium=social&utm_campaign=shubham

Source Code ๐Ÿ‘‰ github.com/cohere-ai/sandbox-topically
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