کنفرانس مهندسی برق ایران

صفحه اصلی / سی امین کنفرانس بین المللی مهندسی برق

Job Title Prediction from Tweets Using Word Embedding and Deep Neural Networks

نویسندگان :

Shayan Vassef¹ Ramin Toosi² Mohammad Ali Akhaee³

1- دانشگاه تهران 2- دانشگاه تهران 3- دانشگاه تهران

کلمات کلیدی :

text classification،social media analysis،Job title prediction،Twitter analysis

چکیده :

The more social media take its place in our lives, the more important their analysis becomes and the more researchers’ attention is drawn to it. Studies contain various topics such as sentiment analysis, trend prediction, bot detection, etc. Here, for the first time, we propose a novel method to predict the job title of social media users. Twitter, a popular social media, is our target social media. We introduce a dataset consisting of 1314 samples, including users’ tweets and bios. The user's job title is found using Wikipedia crawling. The challenge of multiple job titles per user is handled using a semantic word embedding and clustering method. Then, a job prediction method based on a deep neural network and TF-IDF word embedding is introduced. We also take the advantage of hashtags and emojis in the tweets for job prediction. Results show that the job title of users in Twitter could be well predicted with 54\% accuracy in nine categories.

لیست مقالات

لیست مقالات بایگانی شده

RCS Calculation of a Symmetrical Microstrip Array Using Discrete Bodies of Revolution Method

Hossein Mohammadzadeh - Abolghasem Zeidaabadi Nezhad - Zaker Hossein Firouzeh

امنیت سایبری در مواجه با تزریق اطلاعات نادرست به سیستم قدرت هوشمند و ارائه راهکار مقابله

مهدی جمشیدی آفارانی - مهرداد عابدی

A New 10 Watt Power Amplifier for GSM 900 MHz base stations with 44% Bandwidth

Marzieh Chegini - HojjatAllah Nemati - Mahmoud Kamarei

یک روش مستقل از پارامترهای خطا به‌منظور تشخیص، دسته‌بندی و تعیین سکشن خطا در سیستم انتقال چند ترمیناله بر اساس تبدیل موجک گسسته

احسان اکبری - عبدالرضا شیخ الاسلامی

Technical and Economic Analysis of Voltage Sags Mitigation Methods

Sina Shakeri - Javad Khajouei - Saeid Esmaeili

On the Design of Highly Efficient Harmonic Tuned Wideband Class F-1/F Power Amplifier

Mohammad Reza Zeinali - Amir Hossein Aalipour - Hossein Shamsi

A Multilevel Ac-Ac Converter with Input-series and Output-Parallel as Dynamic Voltage Restorer

Seyed mohsen Mortazavi - Reza Beiranvand

Design of a highly efficient photoconductive terahertz modulator enhanced by photonic crystal resonant cavity

Faramarz Alihosseini - Zahra Heshmatpanah - Hesam Zandi

Robust Control System Design for an Industrial Heavy Duty Gas Turbine under Network-Induced Imperfections

Nasim Ensanseft - Ali Chaibakhsh

Energy Allocation Methods in NOMA Modulation Using Machine Learning Algorithms in the Presence of Jamming

Khashayar Saremi - Bahareh Akhbari

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2