Novel methods for text preprocessing and classification
نویسنده
چکیده
منابع مشابه
Document Analysis And Classification Based On Passing Window
In this paper we present Document analysis and classification system to segment and classify contents of Arabic document images. This system includes preprocessing, document segmentation, feature extraction and document classification. A document image is enhanced in the preprocessing by removing noise, binarization, and detecting and correcting image skew. In document segmentation, an algorith...
متن کاملA Novel One Sided Feature Selection Method for Imbalanced Text Classification
The imbalance data can be seen in various areas such as text classification, credit card fraud detection, risk management, web page classification, image classification, medical diagnosis/monitoring, and biological data analysis. The classification algorithms have more tendencies to the large class and might even deal with the minority class data as the outlier data. The text data is one of t...
متن کاملA Comparative Study of Text Preprocessing Approaches for Topic Detection of User Utterances
The paper describes a comparative study of existing and novel text preprocessing and classification techniques for domain detection of user utterances. Two corpora are considered. The first one contains customer calls to a call centre for further call routing; the second one contains answers of call centre employees with different kinds of customer orientation behaviour. Seven different unsuper...
متن کاملسیستم شناسایی و طبقه بندی اسامی در متون فارسی
Name entity recognition (NER) is a system that can identify one or more kinds of names in a text and classify them into specified categories. These categories can be name of people, organizations, companies, places (country, city, street, etc.), time related to names (date and time), financial values, percentages, etc. Although during the past decade a lot of researches has been done on NER in ...
متن کاملDiscrimination of Golab apple storage time using acoustic impulse response and LDA and QDA discriminant analysis techniques
ABSTRACT- Firmness is one of the most important quality indicators for apple fruits, which is highly correlated with the storage time. The acoustic impulse response technique is one of the most commonly used nondestructive detection methods for evaluating apple firmness. This paper presents a non-destructive method for classification of Iranian apple (Malus domestica Borkh. cv. Golab) according...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015