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The paper presents one of the most important issues in Natural Language Processing (NLP), emotion identification and classification to implement a ...
It is assumed that there is only one opinion (sentiment)in each sentence. To prove it, each sentence is splitted in clauses (a fragment with a predicativeverb) ...
In this work we describe a simple technique to perform sentiment classification based on an unsupervised linguistic approach. Our pattern-based method applies a ...
Dec 1, 2014 · The paper presents one of the most important issues in Natural Language Processing (NLP), emotion identification and classification to ...
This paper deals with the recommendation based on the sentiment analysis of text, specially the posts that are posted by the users of the social media. The ...
Apr 20, 2021 · I'm currently trying to develop a text classification program that detects emotions and social instances from written text of individuals ...
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Mar 9, 2020 · I want to use am NLP/ML model to auto-tag message for the participants' emotions as the conversation is happening (e.g happy, sad, anger, ...
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Nov 16, 2022 · Emotion detection in text allows companies to extract insights from social media comments analysis, survey data analysis, or other sources of ...
Dec 15, 2019 · I am doing a project where I will have to detect emotions from reviews gained by users (through comments). My task is to classify the comments in at least 5 ...
Mar 27, 2024 · It's called an “Empathetic Voice Interface” by Hume.ai and from my limited testing, it seems like it actually works.
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