An easier way to describe sentiment analysis is by obtaining the text´s polarity, in other words, by establishing whether it has positive, neutral or negative connotations.

Many of the words we usually employ denote a sentiment connotation to the text. If we analyse these words and the relationship between them, it is certainly possible to obtain the user´s opinion regarding a topic.

For example, let´s assume you want to know the opinion held by Twitter users about the city of Salamanca (Spain). By doing a sentiment analysis over the tweets published regarding this topic, we can answer this question. Messages published by the users show a polarity, and as we have seen, it can be positive, neutral or negative.  We can even know the exact reasons of these opinions by undertaking a deeper text analysis.

Sentiment Analysis

The BISITE Research Group has completed a project in this area in collaboration with the Advanced Services Reginal Centre (CSA) and ANPRO 21. The name of the project is “Network Threat Detection Platform (PIAR)” and its main objective was to develop a platform that enables the information retrieval and analysis coming from the Internet following a Big Data Schema.

The BISITE Research group is currently working on a research line regarding sentiment analysis. It is focused on developing a new platform to undertake multilingual sentiment analysis. These tools, called Esperanto, make it possible to apply a textual analysis of information in languages such as Spanish, English, French, German and Russian.

The motivation of this project relies on the increasing need of both companies and organizations to have the right tools to monitor the information hosted on the Internet, flowing through social networks and news sources. The aim of this project is to analyse the impact produced by this information in real life. Furthermore, this platform enables the identification of the most relevant users within a topic, community detection and storage, and Twitter profile searches.

Sentiment Analysis

The application of these analysis tools covers a wide range of possibilities: from security analysis to political or social issues and marketing. In the first case, it is possible to search for texts on terrorism and find users that either support or reject it. By searching terrorism supporters, security agencies can undertake a detailed investigation on these users. In the field of marketing, this technique makes it possible to obtain the opinion of a group of users with regard to a brand or advertisement campaign. Thus, brands can improve their reputation by listening to unhappy user requests.

Sentiment Analysis

Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.

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