Noskaņojumu analīze
Loading...
Date
Authors
Advisor
Journal Title
Journal ISSN
Volume Title
Publisher
Latvijas Universitāte
Language
N/A
Abstract
Šī kvalifikācijas darba mērķis bija izstrādāt noskaņojumu analīzi veicošas programmatūras
aizmugursistēmu – REST tīmekļa servisus un RSS protokolu datu vākšanas lietotni. Šīs
komponentes tika izstrādātas saistībā ar darbu SIA Exigen Services Latvia.
Izmantojot OpenJPA un Jersey tika izveidota Lipipoc komponente, kas ļauj saglabāt RSS
protokolu ziņojumus un atlasīt noteiktos ziņojumus kopā ar noskaņojumu analīzes rezultātiem,
kurus saglabā ārēja programma. Ir pieejamas arī citas funkcijas.
RssAdapter komponente apstaigā RSS protokolus, savāc datus par to lietotājiem no LDAP un
sūta jaunus ziņojumus Lipipoc komponentei. Tika izmantoti StAX parsētājs XML datņu un
protokolu lasīšanai, JNDI pieslēgšanai pie LDAPa.
Programmatūra tika uzrakstīta valodā Java, konfigurācijas datnes – XML.
Projekts tika nodots uzturēšanai.
The objective of this qualification work was to develop sentiment analysis software backend – REST web services and RSS feed data gathering application. These components were developed in connection with author’s work in the Exigen Services Latvia. Lipipoc component allows to store RSS feed posts, query for posts together with sentiment analysis results based on some criteria, as well as provide other functions. Results of the sentiment analysis itself are put by the external program. Lipipoc was created using OpenJPA and Jersey. RssAdapter component queries RSS feeds, gather new posts, retrieve user data from LDAP and send this data to Lipipoc component. It uses StAX for XML parsing and JNDI for LDAP queries. Application is written in Java programming language, configuration files are in XML format. Project was given to support team.
The objective of this qualification work was to develop sentiment analysis software backend – REST web services and RSS feed data gathering application. These components were developed in connection with author’s work in the Exigen Services Latvia. Lipipoc component allows to store RSS feed posts, query for posts together with sentiment analysis results based on some criteria, as well as provide other functions. Results of the sentiment analysis itself are put by the external program. Lipipoc was created using OpenJPA and Jersey. RssAdapter component queries RSS feeds, gather new posts, retrieve user data from LDAP and send this data to Lipipoc component. It uses StAX for XML parsing and JNDI for LDAP queries. Application is written in Java programming language, configuration files are in XML format. Project was given to support team.