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TWITTER SENTIMENT ANALYSIS [PDF]

open access: yesi-manager's Journal on Computer Science, 2021
In this report, address the problem of sentiment classification on twitter dataset. used a number of machine learning and deep learning methods to perform sentiment analysis. In the end, used a majority vote ensemble method with 5 of our best models to achieve the classification accuracy of 83.58% on kaggle public leaderboard.
  +7 more sources

Mobile sentiment analysis [PDF]

open access: yes, 2012
Mobile devices play a significant part in a user’s communication methods and much data that they read and write is received and sent via mobile phones, for instance SMS messages, e-mails, Twitter tweets and social media networking feeds. One of the main goals is to make people aware of how much negative and positive content they read and ...
Chambers, L.   +3 more
core   +4 more sources

Feasible Sentiment Analysis of Real Time Twitter Data [PDF]

open access: yesE3S Web of Conferences, 2023
Sentiment analysis plays a significant role in understanding public opinion, trends, and sentiments expressed on social media platforms. In this paper, we focus on performing sentiment analysis on real-time Twitter data to gain insights into the ...
Karuna G.   +5 more
doaj   +1 more source

Fine-grained Sentiment Analysis Based on Combination of Attention and Gated Mechanism [PDF]

open access: yesJisuanji kexue, 2021
The fine-grained sentiment analysis is one of the key problems in the area of natural language processing.By learning contextual information of the text to conduct sentiment analysis on specific aspects,it can help users and businesses to better ...
ZHANG Jin, DUAN Li-guo, LI Ai-ping, HAO Xiao-yan
doaj   +1 more source

Sentiment Analysis with 'syuzhet' using R

open access: yesThe Programming Historian, 2023
This lesson teaches you how to obtain and analyse narrative texts for patterns of sentiment and emotion.
Jennifer Isasi
doaj   +1 more source

Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review

open access: yesIEEE Access, 2021
Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis.
Ruba Obiedat   +3 more
doaj   +1 more source

Sentiment Difficulty in Aspect-Based Sentiment Analysis

open access: yesMathematics, 2023
Subjectivity is a key aspect of natural language understanding, especially in the context of user-generated text and conversational systems based on large language models. Natural language sentences often contain subjective elements, such as opinions and
Adrian-Gabriel Chifu   +1 more
doaj   +1 more source

Chinese Implicit Sentiment Classification Combining Multiple Linguistic Features [PDF]

open access: yesJisuanji kexue, 2023
Sentiment analysis has always been a hot research direction in natural language processing.Implicit sentiment classification refers to the task of sentiment classification without explicit sentiment words.At present,implicit sentiment analysis is still ...
LU Liangqian, WANG Zhongqing, ZHOU Guodong
doaj   +1 more source

Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification

open access: yesSensors, 2022
As a research hotspot in the field of natural language processing (NLP), sentiment analysis can be roughly divided into explicit sentiment analysis and implicit sentiment analysis.
Meikang Chen   +4 more
doaj   +1 more source

Sentiment Analysis [PDF]

open access: yesInternational Journal of Trend in Scientific Research and Development, 2019
Sentiment Analysis SA is an ongoing field of research in text mining field. SA sentiment analysis is the computational treatment of opinions, sentiments and text. This s paper deals in a comprehensive overview of the recent updates in this field. Many recently proposed algorithms amend and various SA applications are investigated and presented briefly ...
Prof. Richa Mehra   +2 more
openaire   +1 more source

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