Attending conferences and workshops on NLP and machine learning Participating in online communities and forums

In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes ... Sentiment analysis. Text classification allows organizations to manage their brand effectively on multiple channels by extracting specific words that indicate ... The goal of text classification is to assign documents (such as emails, posts, text messages, product reviews, etc...) to one or multiple categories. Feb 28, 2024 ... Text Classification. Text classification analyses the text and identifies categories for the content with a confidence score. Text ... Aug 9, 2024 ... This study aimed to evaluate their performances on social media-based health-related text classification tasks. Apr 3, 2025 ... Text classification is a key natural language processing task widely used in areas such as news classification, sentiment analysis, topic ... This page describes how to prepare text data for use in a Vertex AI dataset to train single-label and multi-label classification models. In text classification, we are given a description $\onedoc \in \mathbb{X}$ of a document, where $\mathbb{X}$ is the document space ; and a fixed set of ... May 20, 2016 ... The basic idea is that semantic vectors (such as the ones provided by Word2Vec) should preserve most of the relevant information about a text ... Apr 17, 2021 ... Abstract. Deep learning--based models have surpassed classical machine learning--based approaches in various text classification tasks, ...