In this paper we have implemented an improved superimposed artificial text detection and inpainting method. Two stage frame works to remove unwanted text from images: Detection of text from image and removal of text using method of inpainting. Smoothing is used to bring more efficiency and reduction of noise and unwanted connected components at the first. With the use of feature extraction, str...

In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...

Intrinsic plagiarism detection is a sub-task of authorship identification in which outlier chunks must be detected solely on the basis of stylistic differences from the main body of the text. We present a first attempt at utilizing words that appear infrequently in a text as stylistic markers for distinguishing outlier chunks in the text. In the first phase of our method we cluster chunks of te...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...

Copy detection has very important application in both intellectual property protection and information retrieval. Currently, copy detection concentrates on document copy detection mainly. In early days, document copy detection concentrated on program plagiarism detection mainly and now the most studies are on text copy detection. In this paper, a comprehensive survey on natural language text co...