Text Mining and Natural Language Processing in R
$99.99 Track price
Do You Want to Gain an Edge by Gleaning Novel Insights from Social Media?
Do You Want to Harness the Power of Unstructured Text and Social Media to Predict Trends?
Over the past decade there has been an explosion in social media sites and now sites like Facebook and Twitter are used for everything from sharing information to distributing news. Social media both captures and sets trends. Mining unstructured text data and social media is the latest frontier of machine learning and data science.
LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:
My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Unlike other courses out there, which focus on theory and outdated methods, this course will teach you practical techniques to harness the power of both text data and social media to build powerful predictive models. We will cover web–scraping, text mining and natural language processing along with mining social media sites like Twitter and Facebook for text data. Additionally you will learn to apply both exploratory data analysis and machine learning techniques to gain actionable insights from text and social media data .
Courses : 17
Specification: Text Mining and Natural Language Processing in R
43 reviews for Text Mining and Natural Language Processing in R
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Nirsartho Luv –
To be frank, She Has lot of genius about the topic. so you can follow her without hesitation.
Titu Babu –
Los materiales y ejemplos del curso me parecieron muy tiles y relevantes para mi trabajo. Una buena introducci n al procesamiento de texto. Pero obviamente necesitas actualizarlo regularmente.
Kiba Lovren –
Overall a very useful course and important topics to know.
Afrida Sristy –
Course materials are satisfactory. All the session are detailed and well explained. Updated lectures are more helpful.
Atika Ali –
Course covered maximum of my problems. Regular updates makes this course more rich! Social media mining part attracts me most!
Haydi Lux –
The knowledge explained very well with a lot of example !!!
Gros Chat –
A crucial point is to get an Twitter developer account. A video explaining the do and don’t would have been useful
Bera Motane –
Thank you Dr Minerva for all your efforts on this topics , you are the best !
Suvendu Mallick –
Very well explained and detailed
Simone De Battisti –
topics are interesting but treated fast, with almost no explanaitions of the choices made (if any) and materials provided (code and data) are not always updated or available or working. the autor is probably very expert of datascience in general but not of unstructured and textual data. too many mistakes in the material provided. she should work more on accuracy and get out interesting insights
Vikram Sal –
Not a very coherent explanation of concepts and does not provide a bigger picture. Very scattered and all over the place
Phil Benz –
She explain well so far, I have more to learn.
Muraj Mugdho –
The coding practices really helps understand how text mining works. Great explanation and code exercises. Sessions are well organized. I am totally satisfied!
Shetu khan –
Incredible course, all around planned and well taught. This has been an excellent learning experience. I have never seen anybody teaching with this precision and great.
Trisha Nigar –
The video exercises are extremely helpful. Covered approx each point that might be required in his further courses. Resources are good! Thanks a lot!
Israt Jahan –
This course has been fantastic. The sessions and resources have been wonderful, detailed and so helpful. Thank you so much for everything!
Munmun Sen –
Learned the fundamentals of TM and NLP in R. Lecture knowledge sequence and codes are very good in quality. If someone ask my opinion, I would recommend to enroll it!
Pranab Kumar Das –
Too focussed on just the code; not able to establish the context or the use case. In some tutorials it feels like the code has been lifted from somewhere else, hence the presenter is not able to explain the real utility of the same.
Fereira Colt –
Amazing learning Experience. I learnt more here rather than some books that i bought.
Leo Maurice –
I never had an online course where I learn and understood more content per video. I tried many courses, but this is different. I strongly recommend it.
Rahul Tirupati –
proper codes/ r script wasn’t provided
Lakshmi Vemuri –
Reuben Jake Rodrigues –
Almost no question or query gets answered. Some of the resources are missing.
NIVEDHITHA DEVI Subrayan –
Emiel van de Kouwe –
Goes through the basics nicely, however may topics are outdated or simply do not work anymore. Overall quite exhaustive in the field of data scraping using R, learned many new packages and tricks to use.
Polly Parks –
Text analysis portion was hands on
Reggie John –
A good text mining resource in R
Annika Maybin –
Content is good, but Code files are missing, questions are not very nicely answered and all the files are pretty unstructured. Also some data files are missing. Code is only superficially explained, definetly not a beginners course!
Muthu Kumar Sarangapani –
The Youtube videos for each heading in the sections are not clear. For each section if practical lab is available then it will be easy to practice and remember each feature.
Geoffrey Gordon Ashbrook –
Seems exciting so far.
Salwa Kassim –
I’m at the mid part. Till now It’s amazing
Rodge Bucao –
I still have quite a few lessons to go but the amount of practical content you get from this course is phenomenal. What I really like is how Minerva shows her train of thought alongside the different approaches to solve a particular problem. All practical, all useful.
shirish gaikwad –
Best practical experience with Text Mining and NLP. Thank You
Marco Onorato –
Bad explained, code is often written badly, in one lesson she randomly started eating while explaining. It’s basically just copy paste
Outstanding & informative
Laura Cunha de Albuquerque Ferreira da Silva –
Very interesting. Would have liked it to have more applications unrelated to social media and more focus on just general text.
Adnan Abbasi –
The course is well structured, the final section about using machine learning with text data is particularly very useful. I am a political science student and having these skills now is giving me a good edge. Will definitely use some of what I learnt when writing my undergrad thesis. Thank you Minerva : )
Ramnathan Rama –
Anonymized User –
Text mining and natural processing in R is an important concept which has been brilliantly elaborated by the instructor in the lectures of the course. It has wide applicability avenues and will significantly enhance the quality of my work. A hand on course for me.
Umair Gill –
some of the scripts in the course need some updating. also, the delivery wasn’t very engaging.
Sushil Kumar –
Rajesh Kumar –
Text mining and natural language processing training for data science application in R in an important course which contains valuable information. This is an advanced course and I find it very useful for my work. The instructor has complete mastery over the subject.