git clone https://github.com/baidu/Senta.git cd Senta python -m pip install . 使用方法 from senta import Senta my_senta = Senta() # 获取目前支持的情感预训练模型, 我们开放了以ERNIE 1.0 large(中文)、ERNIE 2.0 large(英文)和RoBERTa large(英文)作为初始化的SKEP模型 print(my_senta.get_support...
Sentiment AnalysisChapter First Online: 27 June 2024 pp 265–300 Cite this chapter Python for Accounting and Finance Sunil Kumar 1182 Accesses Abstract Sentiment analysis is a popular technique used in natural language processing and machine learning to automatically identify and extract subjective ...
The Tweeter_handler uses Tweepy, an open-source Python library to get tweets mentioning using the Twitter API. Then we will use the Inference API for doing sentiment analysis. Sentiment analysis, a subset within NLP, utilizes machine learning techniques to identify and extract insights. The NLP_h...
Abstract Responding to the poor performance of generic automated sentiment analysis solutions on domain-specific texts, we collect a dataset of 10,000 tweets discussing the topics of finance and investing. We manually assign each tweet its market sentiment, i.e., the investor’s anticipation of a...
Abstract Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing). Sentiment analysis has gain much attention in recent years. In this paper, we aim to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of...
With this approach we are capable to map abstract concepts like sentiment while linking both quantitative and qualitative analysis in human geography. This work would lead to understand and evaluate the "immaterial" and emotional dimension of the city and its spatial expression, where location-based ...
An ensemble of over 3 dozen Sentiment Analysis Models including a diverse representation of major families (including the most popular sentiment analysis libraries and models from both R and Python as well as some AutoML techniques): Lexical
sentiment analysis sentiment dictionaries language natural language processing data visualization text visualizationDownload PDF Sections Figures References Abstract Introduction Sentiment dictionaries, corpora, and word shift graphs Results Conclusion Abbreviations References Availability of data and materials Funding...
To evaluate the performance of the method proposed in this paper on the danmaku sentiment analysis task, experiments were conducted on NVIDIA GeForce RTX3060 using Python 3.8 and PyTorch framework. Chinese-RoBerta-WWM-EXT, Chinese-BERT-WWM-EXT and XLNet are used as pre-trained models with dropout...
Abstract Financial sentiment analysis plays a crucial role in decoding market trends and guiding strategic trading decisions. Despite the deployment of advanced deep learning techniques and language models to refine sentiment analysis in finance, this study breaks new ground by investigating the potential ...