NLP Project: Automated Question Answering from FAQs Using Word-Embeddings
In this session we will build a question answering system to automatically answer questions by the end user through looking up the FAQs and retrieving the closest question and answer as appropriate. In this NLP python task, you will learn basic text processing and ways to compute sentence similarity. We will start with simple representations of a sentence like the bag of words and move on to more sophisticated text embeddings such as word2vec and glove. If time permits, we might also examine more state of the art embedding techniques in NLP for this task. If you’re interested in receiving the access to stepwise analysis done in this video, please share your email address in this google form https://docs.google.com/forms/d/e/1FAIpQLSftPocVKOMqioOK66wl0Zo7kyA_jCXmiQWZ-rLtliGYxcvNKQ/viewform and we will send it to you within 48 hours.
Data Modelling & Analysing Coronavirus (COVID19) Spread https://bit.ly/2KzRS7a
Top 10 Data Science Projects: Learn to Solve Real-World Problems with Data https://bit.ly/3aD1Q2j
Top 15 Open-Source Data Science Tools to Learn in 2020 https://bit.ly/2KxoEG7
Who are we?
Springboard is an online learning platform that helps you master in-demand skills through a personal 1:1 mentor-led model and a project-driven curriculum. Over the last 6+ years, we have served 10K+ learners in 100+ countries. We are now in India and are offering Career Track programs in Data Science, Data Analytics and AI/ML along with job guarantee.
Apply here: http://bit.ly/34JJt9D
For more information, please write to us at firstname.lastname@example.org or call us at +91 8098866488 or +91 7483024694
#NaturalLangaugeProcessing #NLPProject #Word2vec #Glove #MachineLearning #NLP #YoutubeLive