‘We (don’t) know how you feel’ – a comparative study of automated vs. manual analysis of social media conversations

2015 ◽  
Vol 31 (9-10) ◽  
pp. 1141-1157 ◽  
Author(s):  
Ana Isabel Canhoto ◽  
Yuvraj Padmanabhan
Author(s):  
P. Tamije Selvy ◽  
V. Suriya Prakash ◽  
S. Shriram ◽  
N. Vimalesh

The number of Social Media users have increased rapidly these days and a lot of valuable as well as non valuable information is shared in the social which is capable of reaching many people in a short period of time and hence the valuable information that are shared in the social media can be used for many types of analysis. In this paper the tweets that are shared in the name of a disaster is taken and then a alert system is build. This alert system gives alert to the users after checking the received data with the centralized database. This paper also gives a comparative study on the algorithm used in extracting the data from the social media which gives us the accuracy rate of different algorithm that can be used for text mining.


2021 ◽  
Vol 12 (3) ◽  
pp. 111-128
Author(s):  
Aljohara Fahad Al Saud

Identifying language affiliation among children for family immigrants is crucial for one’s language identity. This study aimed to determine the role played by Arab families in the Kingdom of Saudi Arabia, Austria, and Britain to attain language affiliation among their children. It also aims to identify the challenges facing families living in these countries in achieving language affiliation among their children. The study population consisted of all the families that live in the Kingdom of Saudi Arabia, in addition to all the Arab families that live in Austria and Britain and the study sample included (120) parents. The researcher adopted the descriptive-analytical approach and used the questionnaire as the study tool. The study reached several results; first, the role played by families in the Kingdom of Saudi Arabia, Austria, and United Kingdom to attain language affiliation among their children got a high degree of response. Second, the challenges facing activating the family’s role in attaining language affiliation of their children in the Kingdom of Saudi Arabia and Austria have got a high degree of response, while in Britain, they obtained a very high degree of response. The study recommended involving all family members in accessing different and creative ways of practicing their native language and activating the role of social media in developing the language affiliation of children.


2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Kausar Rahmati Khan, Dr. Masroor Khanam

This research explains the reporting style of two newspapers of similar news items. It is related to the headlines styles of reporting in print media. Print media plays very strong role in present era, it’s very important to know how media reveal same news in different point of views. This research paper investigates the news headlines through critical discourse analysis, of 2 daily Urdu newspapers correspondingly from First April to 7th April 2020. In this research paper COVID19 (Corona virus) news headlines were examine in two Urdu Newspapers Daily Jang newspaper and daily Express Newspaper. Newspapers of one week were examined for this research. The Daily Jang based in Karachi. Since 1939 is the oldest newspaper of Pakistan and continuously in publication. The Daily Jang newspaper is published by the Jang Group of Newspapers. The Daily Express is one of Pakistan's most broadly circulated Urdu Newspapers. Through Critical Discourse Analysis it was analyzed that the headlines in both the newspapers have different style of text, meaning and ideology because Jang and Express Newspapers have much difference in polices and in ideology.


Author(s):  
Joan Francesc Fondevila Gascón ◽  
Pedro Mir Bernal ◽  
Eva Santana López ◽  
Josep Rom Rodríguez

2021 ◽  
pp. 196-208
Author(s):  
Jose A. Diaz-Garcia ◽  
M. Dolores Ruiz ◽  
Maria J. Martin-Bautista

Sign in / Sign up

Export Citation Format

Share Document