People are very careful when they want to buy a new house with market strategies and their
budgets. The objective of this paper is to predict the house prices for non-house holders …

User generated texts on the web are freely-available and lucrative sources of data for
language technology researchers. Unfortunately, these texts are often dominated by …

State-of-the-art decision support systems for stock price prediction incorporate pattern-based
event detection in text into their predictions. These systems typically fail to account for word …

ABSTRACT The Word Sense Disambiguation (WSD) is a process of disambiguating the
sense of the text according to its context. Machine translation is one of the challenging task …

Measuring the semantic similarity between words is important for natural language
processing tasks. The traditional models of semantic similarity perform well in most cases …

Women and girls have been facing a lot of violence in various public places in cities, which
are leading to abuse, harassment. So, through this project, we are going to analyze which …

Phishing attacks have become one of the major concerns when it comes to huge social
media platform such as Twitter. On this platform malicious social bots generate fake tweets …

摘要为了提高词义消歧性能, 提出了一种基于卷积神经网络的消歧方法. 以歧义词为中心,
向左右两侧连续扩展4 个邻接词汇单元, 选取其中的词形, 词性和语义类作为消歧特征 …

L'une des principales caractéristiques des langues naturelles réside dans le fait qu'un mot,
une expression ou une phrase peut avoir plusieurs sens différents. Il s' agit du problème de …

Cyber attacks are increasing in both frequently and in class throughout the years. It
enhances the art of complexity and the ability for further development as well as the …