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

Secret Sharing Implementation of Predictive Functional Control

Enayat Amiri - Mohammad Haeri - Saeed Adelipour

Bit Error Rate Analysis for a Mixed Underwater OWC-FSO Relaying System in the Presence of Pointing Error

Mahdis Saghaee Jahed - Meysam Ghanbari - Seyed Mohammad Sajad Sadough

Extension Network of Radiomics-based Deeply Supervised U-Net (ERDU) For Prostate Image Segmentation

Mahdi Ashtarian - Karim Faez - Marjan Firouznia - Hamidreza Amindavar

مرتب سازی اسپایک های عصبی با استخراج ویژگی مبتنی بر شبکه عمیق خود رمزگذار

شیدا معجونی - حسین حسینی نژاد محبتی - امین نیک انجام

Synergizing ISAC and OTFS in a Non-GB-OMA Downlink Framework

Ghasem Saeidi - Hamid Saeedi-sourck

Switched-Inductor Cuk and SEPIC Power Factor Correction Rectifiers

Maryam Pourmahdi-torghabe - Hamed Heydari-doostabad - Reza Ghazi

بررسی تأثیر اجرای سازوکارهای بهره وری انرژی بر ظرفیت سنجی اقتصادی سیستم تأمین برق تجدیدپذیر برای ایستگاه های پایه مخابرات موبایل

بهروز عظیمی امینی - وحید محتشمی - حسین ابوترابی زارچی

A Deep Learning-Based Model for House Number Detection And Recognition

Roghaiyeh Tayefeh Younesi - Jafar Tanha - Samaneh Namvar - Sahar Hassanzadeh Mostafaei

Breast tumor detection using graphene-based terahertz patch antenna

Zahra Yasaghi - Ayaz Ghorbani - Gholamreza Moradi

A Novel Method for Partial Discharge Localization in Power Distribution Cables Using Phase Resolved Patterns

Arman Vasigh zadeh ansari - Mehdi Vakilian

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