Deep Learning for User Comment Moderation

نویسندگان

  • John Pavlopoulos
  • Prodromos Malakasiotis
  • Ion Androutsopoulos
چکیده

Experimenting with a new dataset of 1.6M user comments from a Greek news portal and existing datasets of English Wikipedia comments, we show that an RNN outperforms the previous state of the art in moderation. A deep, classification-specific attention mechanism improves further the overall performance of the RNN. We also compare against a CNN and a word-list baseline, considering both fully automatic and semi-automatic moderation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Social News Website Moderation through Semi-supervised Troll User Filtering

Recently, Internet is changing to a more social space in which all users can provide their contributions and opinions to others via websites, social networks or blogs. Accordingly, content generation within social webs has also evolved. Users of social news sites make public links to news stories, so that every user can comment them or other users’ comments related to the stories. In these site...

متن کامل

Similarity measurement for describe user images in social media

Online social networks like Instagram are places for communication. Also, these media produce rich metadata which are useful for further analysis in many fields including health and cognitive science. Many researchers are using these metadata like hashtags, images, etc. to detect patterns of user activities. However, there are several serious ambiguities like how much reliable are these informa...

متن کامل

Everything in Moderation 1 Everything in Moderation: A case for the balanced moderation of user-generated content on news sites

Moderation of user-generated content on news Web sites is an increasingly relevant and pertinent topic for online news entities. The quality and quantity of user-generated content can either help or hinder the number of audience members a news outlet receives. Considerations such as the amount of resources that can be given to moderation, the types of moderation, the types of usergenerated cont...

متن کامل

Improved Abusive Comment Moderation with User Embeddings

Experimenting with a dataset of approximately 1.6M user comments from a Greek news sports portal, we explore how a state of the art RNN-based moderation method can be improved by adding user embeddings, user type embeddings, user biases, or user type biases. We observe improvements in all cases, with user embeddings leading to the biggest performance gains.

متن کامل

A Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis

Recommender systems are important tools for users to identify their preferred items and for businesses to improve their products and services. In recent years, the use of online services for selection and reservation of hotels have witnessed a booming growth. Customer’ reviews have replaced the word of mouth marketing, but searching hotels based on user priorities is more time-consuming. This s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • CoRR

دوره abs/1705.09993  شماره 

صفحات  -

تاریخ انتشار 2017