Sentiment Analysis of Hürriyet Emlak
Loading...
Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
MEF Üniversitesi, Fen Bilimleri Enstitüsü
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
Sentiment analysis refer to the task of natural language processing to determine whether a piece of text contains some subjective information and what subjective information it expresses, whether the attitude behind a text is positive, negative or neutral.
Description
Keywords
SA: Sentiment Analysis, ML: Machine Learning, DT: Decision Tree, Big Data: BD, DA: Duygu Analizi, MÖ: Makine Öğrenmesi, BV: Büyük Veri
Turkish CoHE Thesis Center URL
Fields of Science
Citation
Korkmaz, A. (2017). Sentiment analysis of Hürriyet Emlak, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye
WoS Q
N/A
Scopus Q
N/A
Source
Volume
Issue
Start Page
End Page
Collections
Google Scholar™
Sustainable Development Goals
1
NO POVERTY
2
ZERO HUNGER
3
GOOD HEALTH AND WELL-BEING
4
QUALITY EDUCATION
6
CLEAN WATER AND SANITATION
7
AFFORDABLE AND CLEAN ENERGY
8
DECENT WORK AND ECONOMIC GROWTH
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
10
REDUCED INEQUALITIES
11
SUSTAINABLE CITIES AND COMMUNITIES
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
13
CLIMATE ACTION
14
LIFE BELOW WATER
15
LIFE ON LAND
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
17
PARTNERSHIPS FOR THE GOALS
