Linking Twitter Sentiment Knowledge with Infrastructure Development
نویسندگان
چکیده
منابع مشابه
Sentiment Knowledge Discovery in Twitter Streaming Data
Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to discover what is happening at any moment in time, anywhere in the world. Twitter messages are short, and generated constantly, and well suited for knowledge discovery using data stream mining. We briefly discuss the challenges that Twitter data streams pose, focusing ...
متن کاملSentiment in Twitter events
The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically associated with increases in sentiment strengt...
متن کاملSentiment Estimation on Twitter
We study the classifier quantification problem in the context of the topical opinion retrieval, that consists in estimating proportions of the sentiment categories in the result set of a topic. We propose a methodology to circumvent individual classification allowing a real-time sentiment analysis for huge volumes of data. After discussing existing approaches to quantification, the novel propos...
متن کاملTwitter Sentiment Analysis
2012 CERTIFICATE It is certified that the contents and form of thesis entitled " Twitter Sentiment Analysis " submitted by Afroze Ibrahim Baqapuri (NUST-BEE-310) have been found satisfactory for the requirement of the degree.
متن کاملFBK: Sentiment Analysis in Twitter with Tweetsted
This paper presents the Tweetsted system implemented for the SemEval 2013 task on Sentiment Analysis in Twitter. In particular, we participated in Task B on Message Polarity Classification in the Constrained setting. The approach is based on the exploitation of various resources such as SentiWordNet and LIWC. Official results show that our approach yields a F-score of 0.5976 for Twitter message...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: MATEMATIKA
سال: 2018
ISSN: 0127-9602,0127-8274
DOI: 10.11113/matematika.v34.n3.1142