In network applications communication is the main aspect in present days. Data transformation is the process of sending data from one person to another person. In this contrast present security is the main issue in network communication. Steganography is the one of the data hiding technique that can be used in secret data sharing applications. Traditionally Forbidden Zone Data Hiding was develo...

In this paper, a developing voice-mail system is described which extracts keywords from continuously spoken mail. In this keyword extraction, a bottom-up approach to hypothesize the keywords and a top-down approach to verify them are integrated. First, a phoneme sequence is recognized in bottom-up mode, then keywords are hypothesized on the phoneme sequence. Finally, keyword candidates are veri...

Today an efficient information search is very important to extract and analyze user requirements in vast amount of web information. Due to this reason, this paper proposes the log based keyword extraction method which finds the associated keywords in a certain domain. Also, this paper proposes the spread based clustering method as clustering the keywords with high association among the keyword-...

With the currently growing interest in the Semantic Web, metadata is becoming to play an important role in the Web. As one of forthcoming metadata standards for the Semantic Web, FOAF defines an RDF vocabulary for expressing metadata about people and the relation between people. In this paper we propose the novel keyword extraction method to extract FOAF metadata from the Web. The proposed meth...

We introduce a method that extracts keywords in a language with the help of the other. In our approach, we bridge and fuse conventionally irrelevant word statistics in languages. The method involves estimating preferences for keywords w.r.t. domain topics and generating cross-lingual bridges for word statistics integration. At run-time, we transform parallel articles into word graphs, build cro...

Keyword extraction is an efficient approach to managing an explosion of online text on the Web. Traditionally, an abstraction of the online text is constructed though keywords, which are extracted according to a certain importance measure. One such measure is their occurrence frequency. However, previous work has not considered another important factor: the diversity of the keywords. Therefore,...

Recently, the sites in internet on which users can write private ideas and opinions are increasing. In addition, the number of people who want to know other’s opinions about the interested products is also increasing. However, it is very difficult for people to read whole reviews on internet. This study tries to develop a new review analysis system which shows evaluation information about produ...