Implementación de un Framework de Big Data para el análisis de sentimientos en redes sociales por medio de Apache Spark
Social networks are tools to know opinions and preferences of the public, information contained in posts from users is invaluable. A framework for social networks sentiment analysis is implemented through Apache Spark, to know user appreciation according to brand, entity, or topic. The overall archi...
Պահպանված է:
| Հիմնական հեղինակ: | |
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| Ձևաչափ: | bachelorThesis |
| Լեզու: | spa |
| Հրապարակվել է: |
2020
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| Խորագրեր: | |
| Առցանց հասանելիություն: | http://dspace.udla.edu.ec/handle/33000/13093 |
| Ցուցիչներ: |
Ավելացրեք ցուցիչ
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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Ավելացրեք ցուցիչ | Ամփոփում: | Social networks are tools to know opinions and preferences of the public, information contained in posts from users is invaluable. A framework for social networks sentiment analysis is implemented through Apache Spark, to know user appreciation according to brand, entity, or topic. The overall architecture of the framework is designed, analyzing requirements through user stories, and generating three designs: high level, low level, and interface. In high level design an activities diagram is generated, this design defines the framework’s workflow. Low level design generates an activities diagram with a greater level of detail than the previous one. Interface design is an initial proposal of the graphic interface for the final user. Process of implementation is documented in detail. Problems of libraries used are analyzed and alternatives taken to get around those drawbacks are implemented. Programming done and modifications made to third party libraries are included. Unit tests are developed in parallel to the implementation. Behavior of the framework is evaluated through an integration test, results from those evaluations are analyzed and modifications for future releases are proposed. |
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