Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The increased use of the Internet and the ease of access to online communities like social media have provided an avenue for cybercrimes. Cyberbullying, which is a kind of cybercrime, is defined as an aggressive, intentional action against a defenseless person by using the Internet, social media, or other electronic contents. Researchers have found that many of the bullying cases have tragically ended...
Social media offer abundant information for studying people's behaviors, emotions and opinions during the evolution of various rare events such as natural disasters. It is useful to analyze the correlation between social media and human-affected events. This study uses Hurricane Sandy 2012 related Twitter text data to conduct information extraction and text classification. Considering that the original...
In daily life, we use the internet for many purposes. The Internet makes easier our life and it has led to the providing to occur new technologies. Several smart devices that use the Internet infrastructure generates digital data in different formats and with different generation speeds. The evaluation of the generated data is carried out by the algorithms associated with the field of machine learning...
The aim of this paper is to provide a framework to understand and analyse the intelligence of chat-bots. With the ever increasing number of chat-bots available, we have considered intelligence analysis to be a functional parameter to determine the usefulness of a bot. For our analysis, we consider Microsoft's Twitter bot Tay released for online interaction in March 2016. We perform various natural...
The need for designing Arabic text mining systems for the use on social media posts is increasingly becoming a significant and attractive research area. It serves and enhances the knowledge needed in various domains. The main focus of this paper is to propose a novel framework combining sentiment analysis with subjective analysis on Arabic social media posts to determine whether people are interested...
Most forms of text contain typos and many algorithms have been proposed to find them, but not much attention has been paid to understanding the occurrence of typos and their indirect significance in understanding how humans interact through text. In this paper we propose some ways in which typos can be exploited to reveal details about human interaction and closeness. We also look at how they can...
Many classification tasks on short text, such as tweet, fail to achieve high accuracy due to data sparseness. One approach to solving this problem is to enrich the context of data by using external data sources, or distributed language representations trained on huge amount of data. In this paper, we present several tweet topic classification methods by exploiting different types of data: tweet text,...
Twitter, as a social media is a very popular way of expressing opinions and interacting with other people in the online world. When taken in aggregation tweets can provide a reflection of public sentiment towards events. In this paper, we provide a positive or negative sentiment on Twitter posts using a well-known machine learning method for text categorization. In addition, we use manually labeled...
Classification is a challenging phenomenon. Text classification uses terms as features which can be grouped to vote for belongingness of a class. This paper explores the performance of Support Vector Machine (SVM) on variation of text features. Empirical results support the findings. The reported result shows significant degradation in SVM classifier as we reduce features from 100 to 50 and then to...
Social media such as Twitter create space to explain the thoughts and opinions on various topics and different events, millions of users can share their ideas in this Micrblog, Therefore Twitter is converted as a source to exploration of information; make a decision and an analysis of sentiment. There is a sense in all of the texts, but it is more important to provide strategies for obtaining suitable...
This study proposes a method that classifies Chinese social network positive-negative comments (Weibo) using naive Bayes algorithm trained from English social network (Twitter) corpus. We train our text classifier using Twitter corpus (in English language), and use this classifier to classify Chinese text. In the previous research, Chinese sentences are processed using Chinese word segmentation algorithms...
Current technology facilitates and increases connections through social media, allowing individuals everywhere to spread their ideas to the world. One social media platform is Twitter. One characteristic of a tweet is the requirement of conveying a message in a limited number of words. Proverbs are a feature of language that convey messages effectively in the least number of words. Therefore, we selected...
In recent years, microblogging platforms have become good places to spread various spams, making the problem of gauging information credibility on social networks receive considerable attention especially under an emergency situation. Unlike previous studies on detecting rumors using tweets' inherent attributes generally, in this work, we shift the premise and focus on identifying event rumors on...
We present a feasibility study using text classification to classify tweets about alcohol use. Alcohol use is the most widely used substance in the US and is the leading risk factor for premature morbidity and mortality globally. Understanding use patterns and locations is an important step toward prevention, moderation, and control of alcohol outlets. Social media may provide an alternate way to...
Twitter users tweet their views in the form of short text messages. Twitter topic classification is classifying the tweets in to a set of predefined classes. In this work, a new tweet classification Method that makes use of tweet features like URL's in the tweet, retweeted tweets and influential users tweet is proposed. Experiments were carried out with extensive tweet data set. The performance of...
Microblogging (Twitter or Facebook) has become a very popular communication tool among Internet users in recent years. Information is generated and managed through either computer or mobile devices by one person and is consumed by many other persons, with most of this user-generated content being textual information. As there are a lot of raw data of people posting real time messages about their opinions...
There are some people who post questions related to book titles in their blogs or on Twitter. If we develop a website that automatically collects such questions and asks for answers, other people who know the answers to these questions can respond efficiently. Hence, we have developed a method to semi-automatically collect questions from blogs and tweets, and we have built a website to display these...
Recent advancements in Web 2.0, people can't be regarded as simple content reader, they can also contribute content as writers. This work consists of microblogging and text categorization. Text categorization steps were used in microblogs to find out users whose contributions are more valuable for its related category. 2015 RSS news feeds were taken for training and users' tweets were used as test...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.