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Knowledge-based BERT word embedding fine-tuning for emotion recognition
Emotion recognition has received considerable attention in recent years, with the popularity
of social media. It is noted, however, that the state-of-the-art language models such as …
of social media. It is noted, however, that the state-of-the-art language models such as …
A Comprehensive Overview of Topic Modeling: Techniques, Applications and Challenges
The growing need of gaining valuable information from large collections of text data has
attracted a considerable interest from researchers in the field of natural language processing …
attracted a considerable interest from researchers in the field of natural language processing …
Emotion-enriched word embeddings for Turkish
Text, as one of the main communication methods, is frequently used as a data source for
natural language processing (NLP) studies. Naturally, our thoughts, expressions, and …
natural language processing (NLP) studies. Naturally, our thoughts, expressions, and …
[HTML][HTML] A Multi-Level Embedding Framework for Decoding Sarcasm Using Context, Emotion, and Sentiment Feature
Sarcasm detection in text poses significant challenges for traditional sentiment analysis, as it
often requires an understanding of context, word meanings, and emotional undertones. For …
often requires an understanding of context, word meanings, and emotional undertones. For …
Improving Arabic Sentiment Analysis using LSTM based on Word Embedding models
In recent times, online users freely express their sentiments in different life aspects because
of the huge increase in social networks. Sentiment Analysis (SA) is one of the main Natural …
of the huge increase in social networks. Sentiment Analysis (SA) is one of the main Natural …
[PDF][PDF] Exploring Aro-Logisent: Delving Into Data Collection For Advanced Sentiment Analysis With Amami Rabbit Optimization-Based Logistic Regression
DJA Merlin, DV Kumar - Journal of Theoretical and Applied Information …, 2024 - jatit.org
Sentiment analysis, a crucial component of natural language processing, aims to discern the
underlying sentiment conveyed in textual data. This research explores the fusion of Amami …
underlying sentiment conveyed in textual data. This research explores the fusion of Amami …
Sentiment Analysis of Customer Reviews on DANA Application Service using Multinomial Naïve Bayes Classifier Algorithm
RM Simamora, MY Fathoni - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The rapid advancement of information and communication technology has had a significant
impact on various aspects of life. One of the prominent impacts is the ease with which …
impact on various aspects of life. One of the prominent impacts is the ease with which …
[PDF][PDF] SENTIMENT ANALYSIS BASED TWITTER TWEETS CLASSIFICATION USING DATA EMBEDDED WITH LSTM
Over the last two decades, social media sites have established themselves into our regular
lifestyle. Collecting information from social media, following trends in social media, and …
lifestyle. Collecting information from social media, following trends in social media, and …
[PDF][PDF] Designing and Implementing Intelligent Textual Plagiarism Detection Models
AAM Saeed - 2023 - researchgate.net
Plagiarism is known as presenting other works as one's own without making proper citation
or giving an explicit acknowledgment. The detection of plagiarism is interesting because it …
or giving an explicit acknowledgment. The detection of plagiarism is interesting because it …
Investigating the various impacts of COVID-19 using Sentiment Analysis and Topic Modeling over three years
The world health organization (WHO) has officially declared the COVID-19 as a global
pandemic in March 2020. Consequently, nations worldwide took some preventive …
pandemic in March 2020. Consequently, nations worldwide took some preventive …