Titlebook: Intelligent Natural Language Processing: Trends and Applications; Khaled Shaalan,Aboul Ella Hassanien,Fahmy Tolba Book 2018 Springer Inter

官僚統(tǒng)治

Estimating Time to Event of Future Events Based on Linguistic Cues on Twitter. An out-of-domain test on music concerts shows that models and hyperparameters trained and optimized on football matches can be used to estimate the remaining time to concerts. Moreover, mixing in concert events in training improves the precision of the average football event estimate.

靦腆

Using Deep Neural Networks for Extracting Sentiment Targets in Arabic Tweetsional LSTM deep neural network with conditional random fields as a classification layer on top of the network to discover the features of this specific set of entities and extract them from Arabic tweets. We’ve evaluated the network performance against a baseline method which makes use of a regular

milligram

Evaluation and Enrichment of Arabic Sentiment Analysisdered due to lack of resources, language in use with sentiment lexicons, pre-processing of dataset as a must and major concern is repeatedly following same approaches. One of the key solution found to resolve these problems include applying the extension of lexicon to include more words not restrict

運(yùn)動的我

淺灘

Using Twitter to Monitor Political Sentiment for Arabic Slangs in all types of topics: economics, business, science, social, religion, and politics in a very short message of information called Tweets. Users are usually written using colloquial Arabic and include a lot of slang. In this Paper, we studied sentiment analysis of Arabic text retrieved from a twit

Pert敏捷

breadth

Automatic Machine Translation for Arabic Tweetsult to deal with traditional approaches to automatic Natural Language Processing (NLP). The current research focus on the implementation of a phrase-based statistical machine translation system for tweets, from a complex and a morphological rich language, Arabic, into English. The first challenge is

人充滿活力

Developing a Transfer-Based System for Arabic Dialects Translationaily activities inside their own territories the role of the Modern Standard. Arabic MSA as an official Arabic language started to be diminished, since the Arabic dialects play a greater role than using it during the daily activities. The continuity of using these dialects whether in media or writin

phlegm

FLASK

Graph-Based Keyword Extractionon, indexing and classification has led to the emphasis on graph-based keyword extraction. This research attempts to examine the impact of several factors on the result of using graph-based keyword extraction approach on a scientific dataset. This study applies a new model that processes the Medline