Introduction The AWS advantage in big data analytics Solving big data problems on AWS Example 1: Queries against an Amazon S3 data lake Example 2: Capturing and analyzing sensor data Example 3: sentiment analysis of social media Conclusion Contributors Further reading Document ...
Event Hubs and Spark on Azure Databricks as an example. Lena and Suz are also discussing alternative options for stream processing, and how it can be used for various scenarios, including IoT, and how to apply machine learning to streaming data by showing a...
sentiment analysiscontent analysistext miningcoding techniquesnatural language processingRID dictionarynaive BayesThe purpose of this article is to present the basic methods for classifying text data. These methods make use of achievements earned in areas such as: natural language processing, the analysis ...
Ifyouareinterestedinminingusefulinformationfromdatausingstate-of-the-arttechniquestomakedata-drivendecisions,thisisago-toguideforyou.Nopriorexperiencewithdatascienceisrequired,althoughbasicknowledgeofRishighlydesirable.Priorknowledgeinmachinelearningwouldbehelpfulbutisnotnecessary. 最新...
(99%)Jiacheng Huang; Long Chen IAE: Irony-based Adversarial Examples for Sentiment Analysis Systems. (99%)Xiaoyin Yi; Jiacheng Huang Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Models. (78%)Tiejin Chen; Kaishen Wang; Hua Wei ...
Understanding Brand Sentiment in Regards to Sponsorship ROI With access to sentiment analysis of brand-related conversations, brands can gain an excellent understanding of how they are received in the mind of the consumer. The below sentiment graph shows the rating of Springbok-related conversations....
Finance: text analysis and sentiment analysis Some examples of NLP applications include: IBM Watson: a question-answering computer system that uses NLP to answer questions Google Translate: a machine translation system that uses NLP to translate text ...
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. (2011). Learning Word Vectors for Sentiment Analysis. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). ...
What we’re going to be talking about today is how SocialBee uses Neo4j to conduct sentiment and social network analysis: My name isLaura Drummer, and I work for a company calledNovetta. We work primarily in the area of government consulting, and have a few software offerings in the realm...
AI researcher with 7+ years of expertise in natural language processing and unsupervised learning. Led a team to develop a novel clustering algorithm, resulting in a 25% improvement in data analysis efficiency. Competent at building and deploying NLP models for sentiment analysis and topic modeling....