参考文献《Convolutional_Neural_Networks_for_Sentence_Classification》实现对贝因美评论的分析
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Updated
Feb 4, 2018 - Python
参考文献《Convolutional_Neural_Networks_for_Sentence_Classification》实现对贝因美评论的分析
A Dashboard demonstrating Sentimental and Emotional analysis of top rated restaurants reviews located in NCR.
The project aims at classifying the various reviews on the specified drugs based on their polarity with the aid of their rating (Course: CSL2050 Pattern Recognition and Machine Learning)
StimuliXpert improves the synchronization between EEG signals and emotional stimulus and helps the user to report the emotional arousal & valence in real time
A way to take in feedbacks a better way.
This project utilizes machine learning and deep learning techniques to perform sentiment analysis on text reviews, automatically categorizing them as positive or negative. It provides valuable insights into user opinions and emotions expressed in textual data.
MuskanAi is a personal Digital Assistant which is capable of performing all Automation task whether it is Controlling your Devices, Browsing the Internet and Emotional Understanding..
Zenify: Unveil the Mood of Words with Sentiment Analysis
"Edith" is a HackHarvard-born AI project enhancing personal wellness by analyzing emotional states through data from wearables like Apple Watches and Fitbits. It's designed to improve user experience and well-being through advanced AI-driven emotion analysis.
Analyzing the Drugs Descriptions, conditions, reviews and then recommending the medicines for each Health Condition of a Patient.
SocialUnrestPredictor explores emotions within societal discussions like Black Lives Matter, 'Stop Asian Hate,' and 'Immigration.' Using NLTK and Gensim, it discerns nuanced emotions beyond conventional analysis, offering deeper insights into societal sentiments.
AD3X Hackathon Winner Repo - Sentimental & Emotional Analysis
2023년 국립국어원 인공 지능 언어 능력 평가: 감정 분석 과제
Serie de ejercicios para familiarizarse con R
CS4472 - Mobile Computing Project. Personal Health Companion App designed to help you achieve a balanced lifestyle.
My implementation of the research paper - All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework
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