Добро пожаловать в клуб

Показать / Спрятать  Домой  Новости Статьи Файлы Форум Web ссылки F.A.Q. Логобург    Показать / Спрятать

       
Поиск   
Главное меню
ДомойНовостиСтатьиПостановка звуковФайлыКнижный мирФорумСловарьРассылкаКаталог ссылокРейтинг пользователейЧаВо(FAQ)КонкурсWeb магазинКарта сайта

Поздравляем!
Поздравляем нового Логобуржца Санара со вступлением в клуб!

Реклама

КНИЖНЫЙ МИР

Recognizing trust in natural language in Amazon's online reviews   Maitreyee Tewari

Recognizing trust in natural language in Amazon's online reviews

52 страниц. 2014 год.
LAP Lambert Academic Publishing
The project’s motivation is to make internet a credible world. This project is a first step towards automating the process of trust extraction. The project involves analysis, extraction and refinement of ethotic data available on the internet. The project was initiated with gathering of data from different sources such as online libraries or the website. Then the data was cleaned (removed stop words and punctuations), annotated and classifier was built. The entire project went through several iterations to produce a reliable solution. This project has used several natural language processing techniques such as argument mining, sentiment analysis and machine learning algorithms such as Naive Bayes and Maxent Models which are discussed in detail in the thesis. The software involved were Python and its toolkits for language processing such as Natural language Toolkit (NLTK) and TextBlob. The contribution of this project was: a rich data was collected and annotated and two classifiers...
 
- Генерация страницы: 0.04 секунд -