DEVELOPMENT OF FACEBOOK SCRAPER AND HATE SPEECH CLASSIFICATION OF SOCIAL MEDIA USERS USING PRE-TRAINED MODEL FEATURES IN INSTITUT TEKNOLOGI BANDUNGâS SOCIAL NETWORK ANALYSIS APPLICATION
Before the development of this Final Project, the Social Network Analysis Application by Institut Teknologi Bandung (SNA ITB) was only able to procure data for analyzation from the social media Twitter. This is not ideal as the number of users for other social medias like Facebook dwarfs the numb...
Saved in:
Main Author: | Junod, Girvin |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/74152 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Hate speech detection in Vietnamese on social network sites
by: Le, Ngoc Nhung
Published: (2020) -
DEVELOPMENT OF YOUTUBE SCRAPER AND YOUTUBE STATISTICS ALONG WITH MODEL UTILIZATION IN BANDUNG INSTITUTE OF TECHNOLOGY'S SOCIAL NETWORK ANALYSIS APPLICATION
by: Chairil Salim, Hamzah -
MULTI-LABEL CLASSIFICATION OF HATE SPEECH AND ABUSIVE LANGUAGE IN INDONESIAN TWITTER
by: Raihan Asyraf Desanto, Muhammad -
Hate speech and the freedom to live
by: Singapore Management University
Published: (2017) -
PERFORMANCE IMPROVEMENT OF HATE SPEECH DETECTION FOR HATEFUL STATEMENTS USING CONTEXTUAL PREPROCESSING AND FINE-TUNING STRATEGY ON PRE-TRAINED LANGUAGE MODEL (BERT)
by: Donny Ericson, Muhammad