A survey of sentiment analysis based on transfer learning

R Liu, Y Shi, C Ji, M Jia - IEEE access, 2019 - ieeexplore.ieee.org
With the rapid development of the Internet industry, sentiment analysis has grown into one of
the popular areas of natural language processing (NLP). Through it, the implicit emotion in …

Improving sentiment analysis in social media by handling lengthened words

A Kukkar, R Mohana, A Sharma, A Nayyar… - IEEE …, 2023 - ieeexplore.ieee.org
Machines are continually being channelized in the current era of automation to deliver
accurate interpretations of what people communicate on social media. The human species …

Sentiment analysis of smart phone product review using SVM classification technique

U Kumari, AK Sharma, D Soni - 2017 International conference …, 2017 - ieeexplore.ieee.org
There is a massive increase in number of people who access various social networking and
micro-blogging websites that gives new shape to the impression of today's generation …

Combining likes-retweet analysis and naive bayes classifier within twitter for sentiment analysis

RS Perdana, A Pinandito - Journal of Telecommunication …, 2018 - jtec.utem.edu.my
Sentiment analysis is a research study that aims to extract subjectivity of opinions. Due to
massive growth number of user generated content in social media, Twitter is one of the most …

[PDF][PDF] Topic sentiment analysis in online learning community from college students

K Wang, Y Zhang - J. Data Inf. Sci, 2020 - sciendo.com
Purpose: Opinion mining and sentiment analysis in Online Learning Community can truly
reflect the students' learning situation, which provides the necessary theoretical basis for …

Sentiment analysis of text memes: A comparison among supervised machine learning methods

E Asmawati, A Saikhu… - 2022 9th International …, 2022 - ieeexplore.ieee.org
Meme is a new form of content in social media. A meme contains sentiment towards a
particular issue, product, person, or entity. Memes can be in the form of text, images, or …

Evaluation of adjective and adverb types for effective Twitter sentiment classification

SF Ali, N Masood - Plos one, 2024 - journals.plos.org
Twitter, the largest microblogging platform, has reported more than 330 million active users
in recent years. Many users express their sentiments about politics, sports, products …

E-commerce product review classification based on supervised machine learning techniques

D Dharrao, S Deokate, AM Bongale… - 2023 9th International …, 2023 - ieeexplore.ieee.org
To become a successful organization it is the most important aspect to consider is the
customer satisfaction. A business can grow only when the customers enjoy their …

Sentiment analysis of foreign tourists to Bangkok using data mining through online social network

T Kuhamanee, N Talmongkol… - 2017 IEEE 15th …, 2017 - ieeexplore.ieee.org
This paper presents an analysis of sentiment of foreign tourists to Bangkok, Thailand, using
data mining approach through online social networks. The objective is to acquire information …

Analysis of streaming data using big data and hybrid machine learning approach

M Rashid, A Hamid, SA Parah - Handbook of Multimedia Information …, 2019 - Springer
A lot of data is generated from multiple sources. This data contains many hidden patterns
and information. Data from Social Networks mostly contains opinions. These opinions can …