Artificial intelligence and sentiment analysis: A review in competitive research
As part of a business strategy, effective competitive research helps businesses outperform
their competitors and attract loyal consumers. To perform competitive research, sentiment …
their competitors and attract loyal consumers. To perform competitive research, sentiment …
The emergence of social media data and sentiment analysis in election prediction
This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …
network approaches to predict crucial decisions from online social media platforms. The …
A survey on classification techniques for opinion mining and sentiment analysis
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
Over a decade of social opinion mining: a systematic review
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …
types of social interaction across multiple channels. This systematic review focuses on the …
Life beyond big data: Governing with little analytics
L Amoore, V Piotukh - Economy and society, 2015 - Taylor & Francis
The twenty-first-century rise of big data marks a significant break with statistical notions of
what is of interest or concern. The vast expansion of digital data has been closely …
what is of interest or concern. The vast expansion of digital data has been closely …
Cross-national study on the perception of the Korean wave and cultural hybridity in Indonesia and Malaysia using discourse on social media
YL Lee, M Jung, RJ Nathan, JE Chung - Sustainability, 2020 - mdpi.com
In the era of globalization, due to the prevalent cultural exchange between countries, inflows
of foreign cultural products can enrich local culture by hybridizing local and global culture …
of foreign cultural products can enrich local culture by hybridizing local and global culture …
A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques
Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …
A MapReduce opinion mining for COVID-19-related tweets classification using enhanced ID3 decision tree classifier
F Es-Sabery, K Es-Sabery, J Qadir… - IEEE …, 2021 - ieeexplore.ieee.org
Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture
human sentiment in the given text. With the ever-spreading of online purchasing websites …
human sentiment in the given text. With the ever-spreading of online purchasing websites …
Machine learning for predicting elections in Latin America based on social media engagement and polls
The popularity of contemporary social media (SM) has impacted democratic practices, and
the success of presidential campaigns is frequently attributed to SM performance. Within this …
the success of presidential campaigns is frequently attributed to SM performance. Within this …
Social media opinion summarization using emotion cognition and convolutional neural networks
Quickly and accurately summarizing representative opinions is a key step for assessing
microblog sentiments. The Ortony-Clore-Collins (OCC) model of emotion can offer a rule …
microblog sentiments. The Ortony-Clore-Collins (OCC) model of emotion can offer a rule …