0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Job Title Prediction from Tweets Using Word Embedding and Deep Neural Networks
نویسندگان :
Shayan Vassef
1
Ramin Toosi
2
Mohammad Ali Akhaee
3
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
LoRa-based Intelligent Helmet for Coal Miner Safety: Neural Network Prediction and BLE Location Tracking
Saba Pirahmadian - Sorin Yousefnia - Soheil Ganjefar
Revealing Shadows: Low-Light Image Enhancement Using Self-Calibrated Illumination
Farzaneh Koohestani - Nader Karimi - Shadrokh Samavi
Modeling the Cable Bridge Based on Two Dimensional System and Analysing the Stability of Desired Model Based on Wave Advanced Model
Mehdi Mirshahi - Masoud Shafiee - Mehdi Mohammadi
طراحی و شبیه سازی یک فراسطح بازتابی با قابلیت تحقق الگوی تشعشعی هم شار با قطبش های خطی و دایروی در باند X مناسب برای ماهواره سنجشی
مجید کریمی پور - ایمان آریانیان
Improved Equivalent Input Disturbance Control of Nonlinear Aeropendulum System Using Data-Driven Approach
Mohammad Hossein Bayati - Arman Marzban - Mahsan Tavakoli-Kakhki - Ali Naseh
Application of Statistical Techniques and Machine Learning in Forecasting Distribution Network Load: A Real Case Study on the Iranian Power System
Hossein Jafari - Mohammad Sadegh Sepasian - Fatemeh Teimori
Sensitivity Analysis of Power Production and Efficiency in Shahid Mofateh Hamedan Power Plant: A Comparative Study of Operational Indicators
Mahdi Aliyari-Shoorehdeli - Aryan Isapour
بهبود بازه پویای حسگر گاز اکسید فلزی برای کاربرد در پایش ایمنی محیطهای صنعتی
سمانه محمدباغبان - وحید غفاری نیا
Design, Simulation and Analysis of a MIM Plasmonic Sensor Based on the Cross-Shaped Resonator
Setare Farzane - Hassan Kaatuzian - Leila Hajshahvaladi
Precise model extraction for Li-Ion batteries using segmented Columb counting and Kalman filtering
Ali Fotokkiani - Ali Ghanbarian - Amirhossein Esteghamat - Ali Fotowat-Ahmady - Farzad Tahami
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
