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

A Single-Switch Single-Inductor High Step-Up DC-DC Converter with Single-Input and Dual-Output Ports

Ali Nadermohammadi - Saed Mahmoud Alilou - Mohammad Maalandish - Seyed Hossein Hosseini - Mehdi Abapour - Kazrm Zare

Transmission Dynamics and Optimal Control Strategy to Mitigate the Spread of Novel Coronavirus: The Case of Iran

Reza Shadi - Ahmad Fakharian - Hamid Khaloozadeh

Virtual power plant participation in day-ahead and futures markets with a deep learning approach

Farzin Ghasemi Olanlari - Mohammad Fazel Dehghanniri - Turaj Amraee

سیستم تشخیص فعالیت مبتنی بر مدلسازی تصویری تنک اطلاعات حالت کانال و شبکه عصبی کانولوشنی

علیرضا ابوالقاسمی - سید محمد تقی المدرسی - سید مجتبی آقایی

Spotting of a Particular Printed Word in Farsi Handwritten Forms Using Deep Learning

Mohammad jafar Gholami Kenari - Ehsanollah Kabir

Optimization of 915nm laser diode asymmetric ‎structure: experimental and theoretical studies in ‎tandem

Seyed peyman Abbasi - Maryam Lajvardi - Arash Hodaei

Reliability Evaluation of Distribution System Considering a Modified Electric Bus as a Mobile Energy Storage (Tehran E-Bus as a Case study)

Ali Kamali - Amir Soleimani - Seyed Vahid Nourbakhsh - Hassan Nehzati - Vahid Esfahanian - Mahmoud Oukati Sadegh

Fast Subdomain Approximation of Brushless Electrical Machines with Spoke-Hub Permanent Magnets

Meisam Pourahmadinakhli - Seyed Hassan Daryanavard - Masoud Jokar-Kohanjani - Sina Soltani

MAD-TI: Meta-path Aggregated-Graph Attention Network for Drug Target Interaction Prediction

Reza Shami Tanha - Maryam Sadighian - Arash Zabihian - Mohsen Hooshmand - Mohsen Afsharchi

Multi-Machine Traction Drive Based on Parallel Connected Synchronous Machines

Hassan Mohammadi Pirouz

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.7.4