On a new model for automatic text categorization based on Vector Space Model

13 years 2 months ago

Download www.it.mgmt.waseda.ac.jp

Abstract—In our previous paper, we proposed a new classiﬁcation technique called the Frequency Ratio Accumulation Method (FRAM). This is a simple technique that adds up the ratios of term frequencies among categories, and it is able to use index terms without limit. Then, we adopted the Character N-gram to

Makoto Suzuki, Naohide Yamagishi, Takashi Ishida,

Real-time Traffic

Character N-gram | Control Systems | Frequency Ratio Accumulation | Simple Technique | SMC 2010 |

claim paper

» Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic...

» Automatic expert identification using a text categorization technique in knowledge managem...

» WikipediaBased Kernels for Text Categorization

» Text Categorization with Support Vector Machines How to Represent Texts in Input Space

» Extended Bigram Features in Text Categorization

» Author Identification Using a Tensor Space Representation

» Automatic Word Clustering for Text Categorization Using Global Information

» Text Representations for Text Categorization A Case Study in Biomedical Domain

Post Info
More Details (n/a)

Added	30 Jan 2011
Updated	30 Jan 2011
Type	Journal
Year	2010
Where	SMC
Authors	Makoto Suzuki, Naohide Yamagishi, Takashi Ishida, Masayuki Goto, Shigeichi Hirasawa

Comments (0)

Sciweavers

On a new model for automatic text categorization based on Vector Space Model

Character N-gram | Control Systems | Frequency Ratio Accumulation | Simple Technique | SMC 2010 |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers