Make minor adjustments

source/case_study_racine.rst

@@ -1,9 +1,9 @@
 .. index:: Racine, case-study, theatre
 .. _case-study-racine:
 
-===============================================
- Case study: Racine's early and late tragedies
-===============================================
+==============================================================
+ Case study: Racine's early and late tragedies [#fn_authors]_
+==============================================================
 
 This tutorial describes two stages of an analysis of a collection of French
 tragedies: (1) exploratory data analysis and (2) a closer quantitative reading
@@ -464,6 +464,10 @@ should so strongly resemble Racine's is left as an exercise for the reader.
 
 .. FOOTNOTES
 
+.. [#fn_authors] This tutorial was written by `Allen Riddell <http://ariddell.org>`_.
+   and `Christof Schöch <http://www.christof-schoech.de>`_.
+
+
 .. [#fn_authorship_attribution] Such signatures do not always appear.
    They can be eliminated with some modest effort on the part of the writer
    :cite:`brennan_adversarial_2011`. There are also many instances of writers

source/conf.py

@@ -130,7 +130,7 @@
 html_title = "Text Analysis with Topic Models for the Humanities and Social Sciences"
 
 # A shorter title for the navigation bar.  Default is the same as html_title.
-html_short_title = None
+html_short_title = "Text Analysis with Topic Models for the Humanities and Social Sciences"
 
 # The name of an image file (relative to this directory) to place at the top
 # of the sidebar.

source/index.rst

@@ -1,12 +1,24 @@
 .. Text Analysis with Topic Models for the Humanities and Social Sciences
 
-TAToM: Text Analysis with Topic Models for the Humanities and Social Sciences
-=============================================================================
+Text Analysis with Topic Models for the Humanities and Social Sciences
+======================================================================
 
-*TAToM: Text Analysis with Topic Models for the Humanities and Social Sciences*
+*Text Analysis with Topic Models for the Humanities and Social Sciences* (TAToM)
 consists of a series of tutorials covering basic procedures in quantitative text
-analysis. The tutorials cover how to prepare a text corpus for analysis and how
-to explore a collection of texts using topic models and machine learning.
+analysis. The tutorials cover the preparation of a text corpus for analysis and
+the exploration of a collection of texts using topic models and machine
+learning.
+
+These tutorials cover basic as well as somewhat advanced procedures and make
+extensive use of the Python programming language to organize, analyze, and
+visualize data.
+
+These tutorials are written by `Allen Riddell <http://ariddell.org>`_.  Comments
+are welcome, as are reports of bugs and typos. Please use the `project's issue
+tracker <https://github.com/ariddell/tatom/issues>`_.
+
+Contents
+--------
 
 .. toctree::
    :maxdepth: 2
@@ -32,12 +44,6 @@ to explore a collection of texts using topic models and machine learning.
     :scale: 60 %
     :alt: Heatmap of topic shares in the ``austen-brontë`` corpus. See :ref:`topic_model_visualization`.
 
-.. raw:: html
-    :file: generated/visualization_topic_model_words.txt
-
-These tutorials were written by `Allen Riddell <http://ariddell.org>`_.
-:ref:`case-study-racine` is coauthored with `Christof Schöch
-<http://www.christof-schoech.de>`_.
-
-Comments are welcome, as are reports of bugs and typos. Please use the
-`project's issue tracker <https://github.com/ariddell/tatom/issues>`_.
+.. figure:: _static/plot_word_topic.png
+    :scale: 60 %
+    :alt: Word associated with topics ``austen-brontë`` corpus. See :ref:`topic_model_visualization`.