TOPONYM RECOGNITION ON TURKISH TWEETS

Date

2014-04-25

Author

Onal, Kezban Dilek
Karagöz, Pınar
Çakıcı, Ruket

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

15
views

0
downloads

In recent years, Twitter has become a popular platform for following and spreading trends, news and ideas all over the world. Geographical scope of tweets is crucial to many tasks like disaster management, event tracking and information retrieval. First step for assigning a geographical location to a tweet is toponym recognition. Toponym Recognition (Geoparsing) is identification of toponyms (place names) in a text. In this study, we investigated performance of three existing approaches for toponym recognition on Turkish tweets. We conducted experiments for measuring performance of the existing approaches on a sample data set. Best results have been obtained with the NER algorithm by Kucuk et.al.. However, we observed that existing NER algorithms for Turkish neglect the syntactic and semantic features of text.

Subject Keywords

Toponym recognition, Geoparsing, Twitter

URI

https://hdl.handle.net/11511/55390

Conference Name

22nd IEEE Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Toponym Recognition in Social Media for Estimating the Location of Events Sagcan, Meryem; Karagöz, Pınar (2015-11-17) Prominence of social media such as Twitter and Facebook led to a huge collection of data over which event detection provides useful results. An important dimension of event detection is location estimation for detected events. Social media provides a variety of clues for location, such as geographical annotation from smart devices, location field in the user profile and the content of the message. Among these clues, message content needs more effort for processing, yet it is generally more informative. In t...
Developing a Twitter bot that can join a discussion using state-of-the-art architectures Çetinkaya, Yusuf Mucahit; Toroslu, İsmail Hakkı (Springer Science and Business Media LLC, 2020-07-01) Today, microblogging platforms like Twitter have become popular by spreading news and opinions that gather attention. Engaging interactions, such as likes, shares, and replies, between users are the key determinants of these platforms' news feed prioritization algorithms. These interactions attract people to ongoing debates and help inform and shape their opinions. Since being influential and attracting followers in these debates are considered as important, understanding the automation of these processes b...
Tweetology of Learning Analytics: What does Twitter tell us about the trends and development of the field? Khalil, Mohammad; Wong, Jacqueline; Er, Erkan; Heitmann, Martin; Belokrys, Gleb (2022-03-21) Twitter is a very popular microblogging platform that has been actively used by scientific communities to exchange scientific information and to promote scholarly discussions. The present study aimed to leverage the tweet data to provide valuable insights into the development of the learning analytics field since its initial days. Descriptive analysis, geocoding analysis, and topic modeling were performed on over 1.6 million tweets related to learning analytics posted between 2010-2021. The descriptive anal...
Determining user types from twitter account contentand structure Gürlek, Mesut; Toroslu, İsmail Hakkı; Department of Computer Engineering (2021-3-05) People are using social media platforms more and more every day; hence, they are be-coming suitable for research studies by their rich content. Twitter is one of the biggestand most widely used social media platforms, and many studies focus on Twitter forsocial media research. In this thesis, we propose methodologies for determining usertypes of Twitter accounts by their metadata, content, and structure. Our first problemis classifying organization vs. individual account types using only metadata. After weg...
Context Based Semantic Relations in Tweets Özer, Özdikiş; Karagöz, Pınar; Oğuztüzün, Mehmet Halit Seyfullah (Springer, 2014-01-01) Twitter, a popular social networking platform, provides a medium for people to share information and opinions with their followers. In such a medium, a flash event finds an immediate response. However, one concept may be expressed in many different ways. Because of users’ different writing conventions, acronym usages, language differences, and spelling mistakes, there may be variations in the content of postings even if they are about the same event. Analyzing semantic relationships and detecting these vari...

Citation Formats

K. D. Onal, P. Karagöz, and R. Çakıcı, “TOPONYM RECOGNITION ON TURKISH TWEETS,” presented at the 22nd IEEE Signal Processing and Communications Applications Conference (SIU), Karadeniz Teknik Univ, Trabzon, TURKEY, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55390.