Analyzing web data (an exercise in navel gazing) Aaron Hart KNIME.com AG Zurich, Switzerland

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1 Analyzing web data (an exercise in navel gazing) Aaron Hart KNIME.com AG Zurich, Switzerland

2 KNIME Forum Analysis

3 KNIME Forum Analysis Challenges: Get data into KNIME Extract simple statistics (how many posts, response time, response length) Classify topics and detect topic shifts Identify content and users

4 Forum Analysis Get Data Two alternatives: Connect to underlying database, read and join content Crawl the web page, parse html

5 Forum Analysis Get Data Two alternatives: Connect to underlying database, read and join content Crawl the web page, parse html

6 Doable but complicated: 7+ tables need to be read, prepared and joined

7 Forum Analysis Get Data Two alternatives: Connect to underlying database, read content Crawl the web page, parse html Use XML parser & Palladian s html retriever nodes

8 Forum Analysis Structure of forum Several Categories, KNIME General, KNIME Reporting, Palladian, (~20 in total)

9 Forum Analysis Structure of forum Discussion threads on several sub-pages

10 Forum Analysis Structure of forum Each thread consists of an initial post and a variable number of comments

11 Forum Analysis Crawler Flow

12 Forum Analysis Crawler Flow

13 Forum Analysis Crawler Flow

14 Forum Analysis Crawler Flow

15 Forum Analysis Crawler Flow

16 Forum Analysis Structure of forum Discussion threads on several sub-pages

17 Forum Analysis Crawler Flow

18 Forum Analysis Crawler Flow

19 Forum Analysis Crawler Flow Input for all subsequent workflows!

20 KNIME Forum Analysis Learn something about the KNIME forum: Challenges: Get data into KNIME Extract simple statistics (how many posts, response time, response length) Classify topics and detect topic shifts Identify content and users

21 Forum Analysis Simple Statistics

22 Forum Analysis Simple Statistics Input table from crawler workflow

23 Forum Analysis Simple Statistics Meta nodes perform simple preprocessing, e.g. average number of active users per month

24 Forum Analysis Simple Statistics Many different reporting nodes with different statistics. Reporting extension to generate PDF, DOC,

25 Forum Analysis Simple Statistics

26 Forum Analysis Simple Statistics Number of active users per year An active user is an user with at least one comment or one post in that year.

27 Forum Analysis Simple Statistics Number of posts per year Numbers are just posts (new discussion threads), not comments

28 Forum Analysis Simple Statistics Number of posts per month and year Big increase early Coincidentally, Simon Richards (richards99) joined

29 Forum Analysis Simple Statistics Who comments/answers on posts?

30 Forum Analysis Simple Statistics Response time

31 Forum Analysis Simple Statistics Number of comments per post

32 KNIME Forum Analysis Learn something about the KNIME forum: Challenges: Get data into KNIME Extract simple statistics (how many posts, response time, response length) Classify topics and detect topic shifts Identify content and users

33 Forum Analysis Classify Posts Use text mining to classify forum post into categories such as io, manipulation, mining, No training set available (mis-)use KNIME node description See evolution of discussion topics over the years

34 Forum Analysis Classify Posts Want to classify forum post (only first post, no comments)

35 Forum Analysis Classify Posts using KNIME node description text as labeled training set

36 Forum Analysis Classify Posts Reads node descriptions from xml dumps (generated with KNIME command line tool) Uses forum data input file and prepares with text mining tools

37 Forum Analysis Classify Posts Unzips an archive with all xml files into temp location

38 Forum Analysis Classify Posts XML files read with loop and preprocessed (header and footer removed)

39 Forum Analysis Classify Posts Description is converted into KNIME text document, from which (stemmed) terms are extracted

40 Forum Analysis Classify Posts

41 Forum Analysis Classify Posts Training data extracted. Learning attributes are keyword occurrences; target is document category

42 Forum Analysis Classify Posts Verify model by splitting data into train/test. Using random forest classifier to address high dimensionality of small (and sparse) data set Training data extracted. Learning attributes are keyword occurrences; target is document category

43 Forum Analysis Classify Posts continuing with main input branch (Input table from crawler workflow)

44 Forum Analysis Classify Posts Preprocessing similar to before, extracting date, author, title,

45 Forum Analysis Classify Posts Extracting attribute table using the keywords from the node description (training) data.

46 Forum Analysis Classify Posts Remainder of the workflow ranks the prediction and prepares for the report.

47 Forum Analysis Classify Posts Hot topics have always been manipulation and mining tasks that KNIME is very good at. Note also increase of flowcontrol over the years and low r traffic (separate forum category, not part of this data set)

48 KNIME Forum Analysis Learn something about the KNIME forum: Challenges: Get data into KNIME Extract simple statistics (how many posts, response time, response length) Classify topics and detect topic shifts Identify content and users

49 Forum Analysis Content & Users Look at individual categories (KNIME General, Developer, Reporting, ) Learn what is discussed See who is contributing

50 Forum Analysis Content & Users Input are all discussions in one forum category

51 Forum Analysis Content & Users Output is a multi page report with tag cloud and user connection graph Combines KNIME s text and network mining extensions

52 Forum Analysis Content & Users

53 Forum Analysis Content & Users Input table from crawler workflow

54 Forum Analysis Content & Users Main loop over all ~20 categories

55 Forum Analysis Content & Users General statistics per category User network analysis Text analytics

56 Forum Analysis Content & Users Text analysis: Forum posts converted to documents and tagged (persons, node names, node categories)

57 Forum Analysis Content & Users Terms fed into tag cloud, colors represent persons ( kilian ), nodes ( bow creator ), node categories ( xml ),

58 Forum Analysis Content & Users Network analysis: User connections (content ignored)

59 Forum Analysis Content & Users Network analysis: Ignore topics, only look at user relation ships. Network nodes represent users, connections represent (directed) relationships between users

60 Forum Analysis Content & Users Network analysis: Very simple user graph, visualized with standard KNIME graph viewer

61 Forum Analysis Content & Users Data collected and send to reporting extension

62 Forum Analysis Content & Users Multi page pdf output for different forum categories

63 Forum Analysis Content & Users Text Mining forum category

64 Forum Analysis Content & Users RDKit (community chemistry extension)

65 Forum Analysis Content & Users KNIME Users not dominated by any particular users

66 KNIME Forum Analysis Learn something about the KNIME forum: Challenges: Get data into KNIME Extract simple statistics (how many posts, response time, response length) Classify topics and detect topic shifts Identify content and users

67 Reviewing all workflows All workflows rely on the same input data Requires re-run of Crawler workflow and updating parameters in analysis flow

68 What do all these flows have in common?

69 They all require the Crawler data

70 Reviewing all workflows All workflows rely on the same input data Requires re-run of Crawler workflow and updating parameters in analysis flow Better: Use meta node and share it between all instances

71 They all require the Crawler data

72 They all require the Crawler data

73

74

75 Now use it in all the analysis flows

76

77

78

79 Nice but now all workflows fetch the data each time they execute! Let s add a cache option.

80 Quickform Node defining a switch: -Get data from web or -use cached file (lives on server)

81

82

83

84 Summary KNIME User Community is healthy and growing Community developed extensions a vital part of the KNIME experience Workflow can be downloaded here: (Coming soon to the public example server)

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