SCHOLARLY PUBLICATION

Large-Scale Sentiment Analysis for News and Blogs

Namrata Godbole, Manjunath Srinivasaiah, Steven Skiena

📖 International Conference on Weblogs and Social Media 📅 2007-01-01

📄 Abstract

Newspapers and blogs express opinion of news entities (people, places, things) while reporting on recent events. We present a system that assigns scores indicating positive or negative opinion to each distinct entity in the text corpus. Our system consists of a sentiment identication phase, which associates expressed opinions with each relevant entity, and a sentiment aggregation and scoring phase, which scores each entity relative to others in the same class. Finally, we evaluate the signicance of our scoring techniques over large corpus of news and blogs.

📄 Abstract

📤 Share this page

🔬 Related Research Papers

Anomalously Large Reactivity of Single Graphene Layers and Edges toward Electron Transfer Chemistries

Routine Access to Millisecond Time Scale Events with Accelerated Molecular Dynamics

The epidemiology of food allergy in Europe: a systematic review and meta‐analysis

Development and validation of the Internet Skills Scale (ISS)

Molecular electrostatic potential analysis: A powerful tool to interpret and predict chemical reactivity

Machine learning prediction in cardiovascular diseases: a meta-analysis

Data Informativity: A New Perspective on Data-Driven Analysis and Control

Antibiotic Residues in Food: Extraction, Analysis, and Human Health Concerns

Ovarian Cancer Risk Factors by Histologic Subtype: An Analysis From the Ovarian Cancer Cohort Consortium

Highly Reversible Open Framework Nanoscale Electrodes for Divalent Ion Batteries

Challenges in design of Kitaev materials: Magnetic interactions from competing energy scales

Mechanoenzymatic Cleavage of the Ultralarge Vascular Protein von Willebrand Factor