Temat: Web mining - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A Comprehensive study: - Sarcasm detection in sentimental analysis
Autorzy:: Ratawal, Yamini
Tayal, Devendra
Powiązania:: https://bibliotekanauki.pl/articles/1159725.pdf
Data publikacji:: 2018
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Sentimental analysis
Web mining
deep learning
machine learning
opinion mining
text mining
Opis:: Sarcasm detection is one of the active research area in sentimental analysis. However this paper talks about one of the recent issue in sentimental analysis that us sarcasm detection. In our work, we have described different techniques used in sarcasm detection that helps a novice researcher in efficient way. This paper represent different methodologies of carrying out research in this field.
Źródło:: World Scientific News; 2018, 113; 1-9
2392-2192
Pojawia się w:: World Scientific News
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Data mining
Autorzy:: Morzy, Tadeusz
Powiązania:: https://bibliotekanauki.pl/articles/703139.pdf
Data publikacji:: 2007
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: data mining
data analysis
evolution of information technology
association analysis
classification
clustering
Web mining
Opis:: Recent advances in data capture, data transmission and data storage technologies have resulted in a growing gap between more powerful database systems and users' ability to understand and effectively analyze the information collected. Many companies and organizations gather gigabytes or terabytes of business transactions, scientific data, web logs, satellite pictures, textreports, which are simply too large and too complex to support a decision making process. Traditional database and data warehouse querying models are not sufficient to extract trends, similarities and correlations hidden in very large databases. The value of the existing databases and data warehouses can be significantly enhanced with help of data mining. Data mining is a new research area which aims at nontrivial extraction of implicit, previously unknown and potentially useful information from large databases and data warehouses. Data mining, also referred to as database mining or knowledge discovery in databases, can help answer business questions that were too time consuming to resolve with traditional data processing techniques. The process of mining the data can be perceived as a new way of querying – with questions such as ”which clients are likely to respond to our next promotional mailing, and why?”. The aim of this paper is to present an overall picture of the data mining field as well as presents briefly few data mining methods. Finally, we summarize the concepts presented in the paper and discuss some problems related with data mining technology.
Źródło:: Nauka; 2007, 3
1231-8515
Pojawia się w:: Nauka
Dostawca treści:: Biblioteka Nauki

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