Emotional analytics platform to detect customer experience insights / pain points / enchanting factors / churn alerts
Q°emotion helps companies to search for customer insight using advanced emotional analytics.
We turn Customer comments into emotional insights.
Q°emotion is the first customer experience solution that enables companies to detect and manage emotional insights from the customer feedbacks and reviews.
We believe that the most relevant/impactful/actionable insights are the emotional insights. We believe that the emotional insights helps to accelerate the launch of corrective actions to help have an impact of millions of customers.
We enable customer experience professionals to diffuse customer centricity within their organisation by making transparent and sensible the emotions lived daily by their final customers.
Market leaders in the tourism, retail, banking, services and FMCG industries - such as TUI, Parc Astérix, Carlson Wagonlit Travel, Chanel, McDonalds, Crédit Agricole, Sodexo, Caisse d'Epargne, Heineken, Savencia use Q°emotion platform to manage millions of reviews and comments.
Q°emotion harnesses the power of NLP, Affective Computing and AI to help detect emotional insights from the customer experience reviews and open comments and launch impactful corrective actions.
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Based on our record, spaCy seems to be more popular. It has been mentiond 58 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / about 1 month ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 6 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
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