portada Map-Reduce Technique for sentiment analysis of twitter data (en Inglés)

Map-Reduce Technique for sentiment analysis of twitter data (en Inglés)

Formato

Libro Físico

Autor

Amol Majgave

Pallavi Desai

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.4 cm

Peso

0.10 kg.

ISBN13

9786202564236

Categorías

Consejos sobre carreras profesionales y cómo alcanzar el éxito

Map-Reduce Technique for sentiment analysis of twitter data (en Inglés)

Amol Majgave (Autor) · Pallavi Desai (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 23 días háb.

$ 109.10$ 54.55

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 54.55

Llega entre el 18 Sep y el 30 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Map-Reduce Technique for sentiment analysis of twitter data (en Inglés)"

As per some current studies, public opinions expressed in social media may be connected with various social issues. To find out what actually can be discovered in social media data, we need data mining. But traditional data mining has many limitations as size of datasets. So, new data mining approaches that can handle massive amount of data have recently been referred to as big data algorithms. In this paper a new system is proposed that delivers large database of Social Networking Site (SNS) called 'Twitter'. Processing the tweet involves extraction of metadata of tweet, geocoding the physical address in a tweet, analysing the sentiment of content in the tweet text and extracting the considerable and key phrases from a text. After all the Information Extracted and NER (Named Entity Recognition) text analysis from tweet, are stored into a MongoDB database, as it is more scalable and more flexible among others of NoSQL databases