Analyzing Public Conversation using LDA and Topic Modeling, in Python
In this talk, we will build “Choir”. An OSINT (Open-source intelligent) project focused on gathering context-based connections between social profiles using AI models like LDA and topic modeling, written in Python to explain what the world discusses over a specific domain and by high-ranking influencers in that domain and focus on what’s going on at the margins.
Speaker
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Sveta GimpelsonMemphis.devSveta has 7+ years of experience working with data. She started as a Risk Management analyst working with advanced data with oriented rules using BI tools (specialized in fraud detection and compliance.). Then she worked as a software engineer at the open university of Israel Developing algorithms for analyzing complex outputs in research of writing process. And now she is a CDO and Co-founder at Memphis.dev a real-time data processing platform.