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    Home»Artificial Intelligence»Data-Driven Decision Making with Sentiment Analysis in R | by Devashree Madhugiri | Jan, 2025
    Artificial Intelligence

    Data-Driven Decision Making with Sentiment Analysis in R | by Devashree Madhugiri | Jan, 2025

    Team_AIBS NewsBy Team_AIBS NewsJanuary 21, 2025No Comments1 Min Read
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    Leveraging the Quanteda, Textstem and Sentimentr Packages to Extract Buyer Insights and Improve Enterprise Technique

    Towards Data Science

    Picture by Ralf Ruppert from Pixabay

    In a quickly evolving world that’s getting increasingly AI-driven each prompt, companies now have to continuously search a aggressive edge to stay sustainable. Corporations might do that by recurrently observing and analyzing buyer opinions relating to their services. They obtain this by assessing feedback from many sources, each on-line and offline. Figuring out constructive and damaging traits in buyer suggestions permits them to fine-tune product options and design advertising and marketing methods that meet the wants of consumers.

    Thus, buyer opinions should be discerned appropriately to seek out beneficial insights that may assist make knowledgeable enterprise choices.

    Sentiment evaluation, part of pure language processing (NLP), is a well-liked approach immediately as a result of it research folks’s opinions, sentiments, and feelings in any given textual content. Companies can perceive public opinion, monitor model…



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