Many organizations need to analyze large amounts of text to
discover useful information. For example, a company may want to
monitor how the public discusses its products in social media, or
a forensics team may need to discover the contents of disk drives
seized by law enforcement. This course provides students with an
understanding of common and emerging methods of organizing,
summarizing, and analyzing large collections of unstructured and
lightly-structured text ('text analytics'). The focus is on
algorithms and techniques, however the course also provides an
introduction to open-source software tools
This is a 6 unit course. It is offered during the second half of the Fall (Mini-2) and Spring (Mini-4) semesters.
By the end of the course, students are expected to have
developed the following skills. Skills are assessed by
the homework assignments and the final exam.
|Time & Location:||
2014 Spring Mini A4, Tu/Th 10:30 - 11:50, HBH 1004
2014 Fall Mini A2, M/W 4:30 - 5:50, location TBD
|Teaching Assistants:||Bob Fang, Chloe Siyu Pan|
Section A4 (Pittsburgh):
Tuesday 3:30 - 4:30pm, Thursday 3:30 - 4:30pm, Friday 3:30 - 4:30pm.
Section K4 (Adelaide): Wednesday 9 - 11am, Saturday 11am - noon (Adelaide timezone). Contact Chloe in a Google Hangout (firstname.lastname@example.org) or on Skype (amemori-p).
Schedule changes are posted on the discussion forum.
|Discussion Forum:||See the 95-865 discussion at piazza.com. You must be invited to join this forum. We will invite everyone enrolled in the class on Friday, March 28.|
|Instructional Materials:||Online access to some materials is restricted to the .cmu.edu domain. CMU people can get access from outside .cmu.edu (e.g., from home) using CMU's WebVPN Service.|
|Recorded Lectures:||Recorded lectures are available via the Heinze College video catalog. An Andrew id is required.|
|Homework:||3 assignments that give hands-on experience with techniques discussed in class.|
|Grading:||3 assignments (3 x 25%) and a final exam (25%).|
|Grading Scale:||Grades are assigned using a curve.|
|Course policies:||Attendance, Laptops & mobile devices, Late homework, Plagiarism & cheating Recording & videotaping|
|Syllabus (subject to revision):|