6. Academic Research: Literature Analysis: Researchers can use topic modeling to analyze large volumes of research papers and identify the main themes, trends, and connections in a particular field over time.
@avikumart_
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Brand Monitoring: Track Customer Perceptions Online Discussions
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Brand Monitoring: Organizations can track online discussions related to their brand and products, gaining insights into customer perceptions and addressing issues.
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Topic Modeling for Product Reviews and Customer Insights
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5. Market Research and Consumer Insights: Product Reviews Analysis: Topic modeling can extract topics from product reviews to identify common customer concerns, feedback, and sentiments related to specific aspects of products or services.
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Topic Modeling for Identifying Emerging Trends
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Trend Identification: By identifying emerging topics and trends, topic modeling helps marketers and analysts stay updated with the latest discussions and interests.
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LangChain: Building LLM Powered Applications
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3) Using LangChain to build LLM powered applications https://
machinehack.com/story/langchai
n-to-build-llm-powered-applications
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Build Semantic Search Applications Using ChromaDB Vector Database
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2) Build a semantic search application using ChromaDB https://
medium.com/ai-science/bui
ld-semantic-search-applications-using-open-source-vector-database-chromadb-a15e9e7f14ce
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LLM-GenAI Repository: Notebooks, Courses and Blogs
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1) LLM-GenAI repository – LLM and transformer notebooks
– Courses to learn more about LLMs and their application
– Blogs in this field Check for more details -
LLMs: The Most Exciting Technology Right Now
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LLMs are some of the most exciting techs at a point in time on earth If you are interested in all things Machine learning and LLM then the following material you may want to really check out
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Understanding P-Values: A Statistical Learning Journey
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P-value can bring tears to new learner of stats
It took me lot of time to actually make sense of it -
Data Science Applications in Finance: Opportunities Unveiled
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Nice application you have chosen A lot of opportunities to use data science for finance