A novel adaptable approach for sentiment analysis on big social data
Gathering public opinion by analyzing big social data has attracted wide attention due to its
interactive and real time nature. For this, recent studies have relied on both social media and …
interactive and real time nature. For this, recent studies have relied on both social media and …
Sentiments analysis of Twitter data using data mining
AP Jain, VD Katkar - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
With rapid growth in user of Social Media in recent years, the researcher get attracted
towards the use of social media data for sentiments analysis of people or particular product …
towards the use of social media data for sentiments analysis of people or particular product …
[PDF][PDF] SentiLex-PT: Principais características e potencialidades
This paper describes the main characteristics of SentiLex-PT, a sentiment lexicon designed
for the extraction of sentiment and opinion about human entities in Portuguese texts. The …
for the extraction of sentiment and opinion about human entities in Portuguese texts. The …
Text classification on Twitter data
P Harjule, A Gurjar, H Seth… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Sentiment analysis is a classification problem where the main focus is to predict the polarity
of words and then classify them into positive or negative sentiment. Classifiers used are of …
of words and then classify them into positive or negative sentiment. Classifiers used are of …
Anonymous real-time analytics monitoring solution for decision making supported by sentiment analysis
Currently, social networks present information of great relevance to various government
agencies and different types of companies, which need knowledge insights for their …
agencies and different types of companies, which need knowledge insights for their …
Sentiment analysis in tickets for it support
CCA Blaz, K Becker - Proceedings of the 13th International Conference …, 2016 - dl.acm.org
Sentiment analysis has been adopted in software engineering for problems such as
software usability and sentiment of developers in open-source projects. This paper proposes …
software usability and sentiment of developers in open-source projects. This paper proposes …
Sentiment analysis of sinhala news comments
S Ranathunga, IU Liyanage - Transactions on Asian and Low-Resource …, 2021 - dl.acm.org
Sinhala is a low-resource language, for which basic language and linguistic tools have not
been properly defined. This affects the development of NLP-based end-user applications for …
been properly defined. This affects the development of NLP-based end-user applications for …
Public emotional atmosphere during disasters: understanding emotions in short video comments on the Zhengzhou flood
X Wang, C Zhang, Q Wei, Y Zhao - Chinese Journal of …, 2024 - Taylor & Francis
Short videos are gaining popularity among Chinese netizens who use them to socialize and
express themselves online, particularly during disasters. This study examines the …
express themselves online, particularly during disasters. This study examines the …
Spatio-temporal trend analysis of the brazilian elections based on twitter data
Text classification techniques and sentiment analysis can be applied to understand and
predict the behavior of users by exploiting the massive amount of data available on social …
predict the behavior of users by exploiting the massive amount of data available on social …
Monitoring public electoral sentiment through online comments in the news media: a comparative study of the 2019 and 2022 presidential elections in Kazakhstan
This study examined how comments about Kazakhstan's 2019 and 2022 presidential
elections posted on Tengrinews, one of the most commonly used news websites in …
elections posted on Tengrinews, one of the most commonly used news websites in …