j

WebApp/main.py

@@ -294,13 +294,13 @@ def text_1():
             d.write(line + "," + str(counts[line]) + '\n')
         d.close()
 
-    df_words_co = pd.read_csv('static/js/words_common.txt', sep=',')
+    df_words_co = pd.read_csv('static/js/words_common.txt', sep=',', error_bad_lines=False)
     df_words_co.FREQ = df_words_co.FREQ.apply(pd.to_numeric)
     df_words_co = df_words_co.groupby('WORDS').sum().reset_index()
     df_words_co.to_csv('static/js/words_common.txt', sep=",", index=False)
     common_words_others = df_words_co.sort_values(by=['FREQ'], ascending=False)['WORDS'][:15]
 
-    df_words_perso = pd.read_csv('static/js/words_perso.txt', sep=',')
+    df_words_perso = pd.read_csv('static/js/words_perso.txt', sep=',', error_bad_lines=False)
     common_words_perso = df_words_perso.sort_values(by=['FREQ'], ascending=False)['WORDS'][:15]
 
     return render_template('result.html', traits = probas, trait = trait, trait_others = trait_others, probas_others = probas_others, num_words = num_words, common_words = common_words_perso, common_words_others=common_words_others)

WebApp/requirements.txt

@@ -19,4 +19,19 @@ scikit-learn
 dill
 keras
 wordcloud
+Flask
+Werkzeug
+numpy
+pandas
+cv2
+time
+re
+os
+argparse
+collections
+scipy
+dlib
+tensorflow
+imutils
+
 

WebApp/static/js/text.txt

@@ -121,5 +121,6 @@ Agreeableness,Conscientiousness,Extraversion,Neuroticism,Openness
 0.08302895724773407,0.26300185918807983,0.11152470856904984,0.28485196828842163,0.2575925290584564
 0.07330887019634247,0.2784692049026489,0.10437306016683576,0.2865116894245148,0.25733718276023865
 0.07330887019634247,0.2784692049026489,0.10437306016683576,0.2865116894245148,0.25733718276023865
+0.07330887019634247,0.2784692049026489,0.10437306016683576,0.2865116894245148,0.25733718276023865
 0.07330887019634247,0.2784692049026489,0.10437306016683577,0.2865116894245148,0.25733718276023865
-0.07330887019634247,0.2784692049026489,0.10437306016683578,0.28651168942451477,0.25733718276023865
+0.24532252550125122,0.22315292060375214,0.22857718169689178,0.010978440754115582,0.2919689416885376

WebApp/static/js/text_mean.txt

@@ -1,6 +1,6 @@
 Trait,Value
-Extraversion,0.2130939582543027
+Extraversion,0.21321782404184342
-Neuroticism,0.06730739799358192
+Neuroticism,0.06685676633566617
-Agreeableness,0.22359002681989823
+Agreeableness,0.22376388680934906
-Conscientiousness,0.2041861231273581
+Conscientiousness,0.20433785750716923
-Openness,0.2918224697932601
+Openness,0.29182364156842233

WebApp/static/js/text_perso.txt

@@ -1,6 +1,6 @@
 Trait,Value
-Extraversion,0.10437306016683578
+Extraversion,0.22857718169689178
-Neuroticism,0.28651168942451477
+Neuroticism,0.010978440754115582
-Agreeableness,0.07330887019634247
+Agreeableness,0.24532252550125122
-Conscientiousness,0.2784692049026489
+Conscientiousness,0.22315292060375214
-Openness,0.25733718276023865
+Openness,0.2919689416885376

WebApp/static/js/words_common.txt

@@ -291,3 +291,67 @@ zone,5
 «,5
 »,5
 ’,10
+The,1
+road,1
+to,6
+your,2
+dreams,1
+isn,1
+’,4
+t,4
+always,1
+easy,2
+navigate,1
+,,4
+sometimes,1
+dotted,1
+with,1
+mountains,1
+climb,1
+obstacles,1
+overcome—and,1
+hard,1
+mind-numbing,1
+times,1
+that,1
+will,1
+make,1
+you,3
+feel,1
+like,1
+quitting,1
+.,5
+Just,1
+remember,1
+this,1
+if,1
+get,1
+lost,1
+along,1
+the,1
+way,1
+:,1
+Anything,1
+worth,1
+having,1
+doesn,1
+come,1
+So,1
+don,1
+turn,1
+back,1
+around,1
+Don,1
+give,1
+up,1
+As,1
+work,1
+achieve,1
+most,1
+ambitious,1
+goals,1
+push,1
+yourself,1
+keep,1
+moving,1
+forward,1

WebApp/static/js/words_perso.txt

@@ -1,270 +1,65 @@
 WORDS,FREQ
-Cover_Letter_apple,1
-Dear,1
-Madam,1
-,,32
-dear,1
-Sir,1
-My,1
-name,1
-is,2
-Maël,2
-Fabien,2
-.,18
-I,16
-have,7
-studied,1
-in,13
-Lausanne,2
-Switzerland,2
-for,8
-the,12
-past,2
-5,1
-years,2
-and,15
-graduated,1
-earlier,1
-this,3
-year,1
-from,3
-a,15
-Master,1
-Actuarial,1
-Science,1
-Statistics,1
-computer,2
-science,3
-always,1
-been,2
-my,6
-main,1
-interests,1
-throughout,1
-studies,2
-Therefore,1
-decided,1
-to,12
-join,1
-one,2
-of,8
-France,1
-’,2
-s,2
-top,1
-engineering,1
-school,1
-Telecom,2
-Paris,2
-Tech,1
-an,2
-MS,1
-Big,1
-Data,1
-post-degree,1
-program,1
-focusing,1
-on,3
-both,1
-quantitative,1
-techniques,1
-machine,1
-learning,3
-/,1
-deep,2
-am,2
-currently,1
-seeking,1
-six,2
-months,3
-internship,3
-position,1
-starting,1
-summer,1
-2019,1
-field,1
-data,3
-Parallel,1
-worked,3
-two,2
-as,4
-teaching,1
-assistant,1
-Professor,2
-Boris,1
-Nikolov,1
-Corporate,1
-Finance,2
-Nils,1
-Soguel,1
-Public,1
-had,2
-opportunity,1
-help,1
-undergraduate,1
-students,2
-problem,1
-sets,1
-solving,1
-other,2
-course,1
-related,1
-tasks,1
-These,1
-opportunities,1
-are,1
-offered,1
-scoring,1
-maximal,1
-grade,1
-at,3
-exam,1
-Swiss,1
-insurance,1
-company,2
-called,1
-«,1
-Vaudoise,1
-Insurance,1
-»,1
-During,2
-end-of-studies,1
-non-life,1
-actuary,1
-intern,1
-was,4
-charge,1
-product,1
-review,2
-including,2
-extraction,1
-handling,1
-missing,1
-values,1
-building,1
-customer,1
-clusters,1
-going,1
-through,1
-pricing,2
-scenario,1
-development,1
 The,1
-final,1
+road,1
-step,1
+to,6
-present,1
+your,2
-management,1
+dreams,1
-time,1
+isn,1
-given,1
+’,4
-chance,1
+t,4
-work,3
+always,1
-daily,1
+easy,2
+navigate,1
+,,4
+sometimes,1
+dotted,1
 with,1
-team,1
+mountains,1
-talented,1
+climb,1
-people,1
+obstacles,1
-actuaries,1
+overcome—and,1
-IT,1
+hard,1
-engineers,1
+mind-numbing,1
-lawyers,1
+times,1
-marketing,1
+that,1
-experts,1
+will,1
-interns,1
+make,1
-Being,1
+you,3
-passionate,1
+feel,1
-about,1
+like,1
-continuously,1
+quitting,1
-trying,1
+.,5
-think,1
+Just,1
-critically,1
+remember,1
-challenge,1
+this,1
-understand,1
+if,1
-datas,1
-look,2
-it,1
-business,1
-perspective,1
-constantly,1
-creativity,1
-communication,1
-skills,1
-try,1
 get,1
-out,1
+lost,1
-comfort,1
+along,1
-zone,1
+the,1
-often,1
+way,1
-possible,1
+:,1
-developed,1
+Anything,1
-strong,2
+worth,1
-interest,2
+having,1
-entrepreneurship,1
+doesn,1
-since,2
+come,1
-entrepreneurial,1
+So,1
-contest,1
+don,1
-Start,1
+turn,1
-during,1
-which,2
-won,1
-jury,1
-prize,1
 back,1
-2016,1
+around,1
-Since,1
+Don,1
-then,1
+give,1
-working,1
+up,1
-projects,2
+As,1
-specialized,1
+work,1
-crowdfunding,1
+achieve,1
-platform,1
+most,1
-At,1
+ambitious,1
-ParisTech,1
+goals,1
-7,3
+push,1
-group,1
+yourself,1
-project,2
+keep,1
-proposed,1
+moving,1
-We,1
-choose,1
-among,1
-several,1
-chose,1
-multimodal,1
-sentiment,1
-analysis,1
-French,1
-employment,1
-agency,1
-do,1
 forward,1
-hearing,1
-you,1
-remain,1
-your,1
-disposal,1
-any,1
-further,1
-clarifications,1
-http,2
-:,4
-//maelfabien.fr,2
-rue,1
-Barrault,1
-75013,1
-+,1
-33,2
-87,1
-20,1
-40,1
-mael.fabien,3
-@,3
-gmail.com,3
-A,1
-P,2
-L,2
-E,4
--,1
-C,1
-OV,1
-R,2
-T,2
-mailto,2

requirements.txt

@@ -1,4 +1,25 @@
 Flask
+Gunicorn
+Werkzeug
+numpy
+pandas
+opencv-python
+cmake
+argparse
+scipy
+dlib
+tensorflow
+imutils
+tika
+wave
+nltk
+gensim
+seaborn
+scikit-learn
+dill
+keras
+wordcloud
+Flask
 Werkzeug
 numpy
 pandas
@@ -12,3 +33,5 @@ scipy
 dlib
 tensorflow
 imutils
+
+