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LLM-based qualitative and quantitative analysis of social media comments

Overview

A pipeline that retrieves comments of videos to a specified hashtag, translates them into English, and analyses them for topics, needs, and experiences using BERTopic and Llama. Combines quantitative with qualitative analysis.

Prompts used with the Llama Model

Prompt Purpose
The main topic is {hashtag}. Please give a not too general but concise subtheme that unifies these words: {topic_words}. Only state the topic. to give a unifying theme for topic clusters identified by BERTopic
Please identify some needs of people interacting with {hashtag} videos in the following list of comments: {list_of_comments}. to identify needs expressed in comments
Please summarise the summaries in the following text and identify 5 needs: {list_of_needs_per_video}. to summarise the needs across all videos
Please identify some experiences of people interacting with {hashtag} videos in the following list of comments: {list_of_comments}. to identify experiences expressed in comments
Please summarise the summaries in the following text and identify 5 experiences: {list_of_experiences_per_video}. to summarise the experiences across all videos

Workflow

Overview of the Workflow

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LLM-based analysis of social media comments

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