H Gupta, A Kottwani, S Gogia… - … , Signal Processing and …, 2016 - ieeexplore.ieee.org
Text summarization combines the process of POS tagging, term frequency and topical analysis. All these together are used to produce insightful summary of the …
S Sehgal, B Kumar, Maheshwar, L Rampal… - Progress in Advanced …, 2018 - Springer
The paper lays emphasis on TextRank algorithm, a graph based approach used to tackle the automatic article summarization problem and proposing a variation to the similarity …
Q Zeng, X Hu, C Li - Data Analysis and Knowledge …, 2019 - manu44.magtech.com.cn
[Objective] This paper proposes a new model to extract topic keywords, aiming to detect those low frequency words of high relevance.[Methods] First, we designed a topic keyword …
Today there exist various sources that provide information in very massive amount to serve the demand over the internet, which creates huge collection of heterogeneous data. Thus …
M Mallek, R Guetari, N Etteyeb… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
The unstructured data, which volume grows exponentially, often hide important and even vital information for society and companies. It takes a lot of work to extract information such …
R Guetari, M Mallek - Advances in Science, Technology and …, 2017 - academia.edu
Data visualization is an effective tool for communicating the results of opinion surveys, epidemiological studies, statistics on consumer habits, etc. The graphical representation of …