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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 …
the popular areas of natural language processing (NLP). Through it, the implicit emotion in …
Improving sentiment analysis in social media by handling lengthened words
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 …
accurate interpretations of what people communicate on social media. The human species …
Sentiment analysis of smart phone product review using SVM classification technique
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 …
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
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 …
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 …
reflect the students' learning situation, which provides the necessary theoretical basis for …
Sentiment analysis of text memes: A comparison among supervised machine learning methods
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 …
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 …
in recent years. Many users express their sentiments about politics, sports, products …
E-commerce product review classification based on supervised machine learning techniques
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 …
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 …
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
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 …
and information. Data from Social Networks mostly contains opinions. These opinions can …