Mar 23, 2022 · In this paper, we propose PLStream, a novel Apache Flink-based framework for fast polarity labelling of massive data streams, like Twitter tweets or online ...

Mar 23, 2022 · Lexicon-based approaches enjoy stable performance across domains, but often cannot capture domain-dependent features. It is also hard for ...

Mar 23, 2022 · In this paper, we propose PLStream, a novel Apache Flink-based framework for fast polarity labelling of massive data streams, like Twitter.

We address the associated implementation challenges and propose a list of techniques including both algorithmic improvements and system optimizations. A ...

TL;DR: PLStream as mentioned in this paper is a novel Apache Flink-based framework for fast polarity labelling of massive data streams, like Twitter tweets ...

A Framework for Fast Polarity Labelling of Massive Data Streams. record by Shuhao Zhang • A Framework for Fast Polarity Labelling of Massive Data Streams.

We propose PLStream, a novel Apache Flink-based framework for fast polarity labelling of massive data streams, like Twitter tweets or online product reviews.

A Framework for Fast Polarity Labelling of Massive Data Streams ... Many of the existing sentiment analysis techniques are based on supervised learning, and they ...

OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams · A Framework for Fast Polarity Labelling of Massive Data Streams.

Within the project we put PLStream , a novel framework for fast polarity labelling of massive data streams, to a test by analysing its linguistic ...