Mining the Blogosphere for Contributors' Sentiments

نویسندگان

  • Boris A. Galitsky
  • Boris Kovalerchuk
چکیده

We propose a domain-independent approach to blog analysis for an assessment of bloggers’ sentiments. The generic methodology to detect specific attitudes of human agents is based on representation of conflict scenarios by means of communicative actions (which express sentiments) and causal/argumentative links between their subjects (which may support these sentiments). This methodology is applied to textual data on interhuman interactions including conflicts in opinions of bloggers. Evaluation is conducted in the domain of customer complaints.

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

Searching Sentiments in Blogs

Sentiment mining is a computational approach used to identify expressions made about topics within a span of text. The blogosphere is a particularly useful corpus for sentiment mining because bloggers express a wide variety of opinions and sentiments in their online journals. Previous works on sentiment identification and extraction have been primarily focused on using machine-learning methods ...

متن کامل

Pbm: A new dataset for blog mining

Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics. A typical text mining application involves preprocessing of text, stemm...

متن کامل

Reaction Paper Regarding the Flow of Influence and Social Meaning Across Social Media Networks

One topic of current interest is how language and sentiments are transmitted in the blogosphere and how individuals affect the sentiments of those in their online sphere of influence. Therefore, the focus of this reaction paper is threefold: (1) to summarize four journal papers related to sentiments and influence, (2) to critique the methods and scope of the journal papers and (3) to brainstorm...

متن کامل

Scalable Detection of Sentiment-Based Contradictions

The analysis of user opinions expressed on the Web is becoming increasingly relevant to a variety of applications. It allows us to track the evolution of opinions or discussions in the blogosphere, or perform product surveys. The aggregation of sentiments and analysis of contradictions is another important application, which becomes effective since we are able to capture the diversity in sentim...

متن کامل

A Review of Opinion Mining Methods for Analyzing Citizens' Contributions in Public Policy Debate

Electronic Participation (eParticipation), both in its traditional form and in its emerging Web 2.0 based form, results in the production of large quantities of textual contributions of citizens concerning government policies and decisions under formation, which contain valuable relevant opinions and knowledge of the society, however are exploited to a limited only extent. It is of critical imp...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006