I have to collect data from Instagram posts (hashtags, geotag) to analyze the behavior of people in a certain area (city).
I searched a long time so far but did not find any sufficient for my task at the university. I am not that experienced in programming but I have knowledge in java, python and SQL.
Do you have any tips how to start?
the Instagram API with the sandbox mode is crap.
ty
Related
I want to bulk create thousands of web stories (of the AMP/Google variety) using a standardized AMP web stories template populated with text and images from my database.
Anyone have any ideas? I am not a coder, but may be able to follow if you assume I know nothing :) Thanks for your consideration and time.
I have looked in GitHub and at several online services that provide tools to make web stories, but none offer it. VisualStories claims to offer an API that does this, but when I asked for paid access said they were not sharing this with customers anymore because they found that creating stories individually produced better results.
Thanks!
Michael
I have an e-commerce website and I need to display products in homepage based on user interest like advertisement showing on facebook and google based on the search we did on the internet.
Is there any API from facebook or google or any website for fetching user interests?
I have wondered how facebook, google, and booking.com collaboratively tracking us even if they are different companies.
Is there any common gateway or common interface where these big companies share user info by making a system with cookies to track among all as a centralized big data model for behavioral advertising?
I am looking for answers from experts for this. I really need to build a system for tracking user interest based on their search on google and other websites.
So you need to use something called recommender systems, using a machine learning algorithm, you'll recommend products to people based on ratings and interest. by using previous data of the same user or other users (just like when you get recommended videos on youtube).
this topic is too big for me to explain it step by step in here, and you need to first have a good understanding of primitive machine learning such as classification, regression ... etc
so if you're interested make sure to check a coursera course called Machine Learning (Stanford University) it's taught by machine learning rockstar Andrew NG, and it doesn't only teach you machine learning, but it takes you from somebody with no idea on the subject to an expert (technically) the course used MATLAB/OCTAVE and it has an entire section on Recommender Systems which is what you need, after you've finished just implement what you learned in the language of your choice !
PS:
you can always look up tutorial online for implementing Recommender Systems, but you will waste so much time because you would have no idea about what you're doing without understanding the theory which you will master in the course I've recommended, the course can also be found easily on youtube. but taking it for FREE in coursera will help you more because you'll have hands-on programming experience, on the different subjects.
For that google and facebook has their algorithm to track user movement and they use it for showing ads on their website.
i don't think that is available for common use.
I think you won't be able to Track there interest live Facebook, Google, Amazon, twitter. They are collecting your Interest form there own platform.
Also they manage large Add provider. SO once a Add has been clicked by you, it has been tracked. Also Google Play, itunes has access to your Phone.
Ive explored the idea of delivering trending content and important updates to a user base of people that are interested in crowd funded projects. I would like to somehow gather data of whats trending and certain analytic information so I could construct an overview of important information.
What would be the best technology to do this? I've read on Data Mining, Scraping...ect but not sure whats the most effective and cost efficient. Any other ideas for getting the data are much appreciated!
As far as trending research I'd recommend you to start off from the Google Trends and also get to know other Google services for business analisys.
I am a newbie when it comes to information extraction. For the past several days, I have read a lot of academic papers and ordered a book on NLP. I want to figure out how I can build a FlipDog.com like system (hopefully not from scratch). They extract job openings from more than 60,000 company web sites. How do I get started?
I am open to learning any programming language. Has anybody used Mallet/GATE/MinorThird or RoadRunner? Ideally, I want to be able to train a system with the data set particular to my domain and have it extract information based on that. Which platform would you recommend for this purpose?
Thanks!
The faster way to extract job offerings is to use dapper.net (a web scraping service from websites). You can very easily to teach dapper to extract data using visual editor. It works very well when on your target websites you have tables.
To learn Information Extraction, I suggest to start from lingpipe. It is a java framework for Information Extraction, so you do not need to learn architectural specific features of the framework, such as Gate or Apache UIMA. On lingpipe website you will find a lot of tutorials which will help you to learn various Information Extraction approaches. After that I suggest to learn Gate and UIMA.
If you want to realize such a website, you also need to learn how to use web crawler frameworks (e.g., nutch), web search engines (yahoo, google, bing), and Information Retrieval engines (such as, apache lucene) to provide a search service on the top of extracted data.
Update:
For python, it is the best to start with: http://www.nltk.org/
I'm just beginning a project that involves working with a few of Google's APIs (for .NET), specifically the Contacts List, Calendar and Gmail. While Google does provide a wealth of information through their code.google.com network, finding what I need to get started has thus far proven to be a monumental task. What I'm hoping to find is a "big picture" look at what Google makes available to developers as well as a few sample pieces of code to ease me off the starting block.
Does anyone know where I can find a handful of simple, useful examples developing basic applications with Google's API (I've come across a few examples within code.google.com, but they're so rudimentary that they're not helpful)? Are there any resources (in print or online) that can spoon feed a Google novice without burying them? Is there a special, hidden nook within code.google.com for Google beginners?
Any information anyone could share would be very helpful.
http://code.google.com/apis/ajax/playground/