In [1]:

    

from gensim.models import AuthorTopicModel

model = AuthorTopicModel.load('model.atmodel')


    

    




C:\ProgramData\Anaconda3\lib\site-packages\gensim\utils.py:860: UserWarning: detected Windows; aliasing chunkize to chunkize_serial
  warnings.warn("detected Windows; aliasing chunkize to chunkize_serial")

In [12]:

    

model.show_topics(num_topics=50)


    

    
Out[12]:





[(0,
  '0.052*"despiertaconloret" + 0.038*"justicia" + 0.035*"sistema" + 0.028*"sistema_justicia" + 0.024*"penal" + 0.013*"nl" + 0.011*"tabasco" + 0.011*"DespiertaConLoret…" + 0.008*"contrato" + 0.007*"cancela"'),
 (1,
  '0.072*"y" + 0.058*"tienes" + 0.045*"o" + 0.027*"opinión" + 0.021*"vía" + 0.019*"a" + 0.018*"escribe" + 0.006*"puedes" + 0.005*"pierdas" + 0.005*"mujeres"'),
 (2,
  '0.012*"usuaria" + 0.005*"mex" + 0.005*"procedimientos" + 0.004*"estante" + 0.004*"obregón" + 0.004*"cañeros" + 0.003*"Michael Phelps" + 0.003*"phelps" + 0.003*"alertaamarilla" + 0.003*"Secretario de Gobernación de"'),
 (3,
  '0.018*"felicidades" + 0.016*"crisis_venezuela" + 0.010*"políticos" + 0.009*"slp" + 0.009*"hospital" + 0.009*"conoce" + 0.008*"presos" + 0.007*"cristian" + 0.007*"a" + 0.006*"años"'),
 (4,
  '0.007*"that" + 0.005*"black" + 0.004*"comparto" + 0.004*"want" + 0.004*"obligada" + 0.004*"your" + 0.003*"periscope" + 0.003*"canceled" + 0.003*"veamos" + 0.003*"hand"'),
 (5,
  '0.028*"eslahoradeopinar" + 0.025*"foroglobal" + 0.013*"agendapública" + 0.010*"forotv_canal" + 0.010*"FOROtv Canal" + 0.010*"izzi_sky" + 0.008*"monitoreodemedios" + 0.006*"eslahoradeopinar_cine" + 0.004*"EsLaHoraDeOpinar Cine" + 0.004*"despejandodudas"'),
 (6,
  '0.035*"amigo" + 0.029*"a" + 0.025*"amlo" + 0.021*"korrodi" + 0.020*"fox" + 0.019*"lino" + 0.019*"lino_korrodi" + 0.019*"Lino Korrodi" + 0.019*"mil" + 0.017*"escribió"'),
 (7,
  '0.012*"encargado" + 0.008*"columnista" + 0.008*"destacadas" + 0.005*"portadas" + 0.005*"lasnoticiascondanielle" + 0.004*"ciclones" + 0.004*"golpeador" + 0.003*"ingeniero" + 0.003*"biblioteca" + 0.003*"faustocarbajal"'),
 (8,
  '0.089*"enpunto" + 0.071*"laprimeramvs" + 0.018*"alaire_laprimeramvs" + 0.016*"enpunto_mira" + 0.010*"atandocabos" + 0.009*"nota_completa" + 0.007*"EnPunto @DeniseMaerker" + 0.006*"EnPunto…" + 0.006*"EnPunto @DeniseMaerker…" + 0.006*"hablemos"'),
 (9,
  '0.013*"redesdepodermty" + 0.010*"redesdepoder" + 0.008*"carnet" + 0.004*"PorSiNoLoViste La @PGJDF_CDMX" + 0.004*"especifica" + 0.004*"moonwalk" + 0.003*"campal" + 0.003*"deuce" + 0.003*"Ricardo Gallardo Juárez" + 0.003*"Moonwalk”"'),
 (10,
  '0.031*"lasnoticiasconkarlaiberia" + 0.011*"impacta" + 0.006*"judicatura" + 0.006*"navarro_valls" + 0.006*"lasnoticiascondanielle" + 0.005*"basuracero" + 0.004*"Prolongación Paseo de la Reforma" + 0.004*"frenan" + 0.004*"yaesviernes" + 0.003*"Quadratín denuncia"'),
 (11,
  '0.038*"y" + 0.036*"a" + 0.013*"el" + 0.013*"video" + 0.013*"platicamos" + 0.012*"extraditar" + 0.012*"adhesión" + 0.011*"luis" + 0.011*"josé" + 0.009*"penal"'),
 (12,
  '0.195*"poderoso" + 0.018*"deportesw" + 0.017*"marthadebayleenw" + 0.015*"asísopitas" + 0.009*"opiniónlsr" + 0.006*"elfutbolentusoídos" + 0.005*"#Nacional" + 0.004*"InformaciónW Se" + 0.003*"#AsíSopitas" + 0.003*"yosoitu"'),
 (13,
  '0.013*"mccartney" + 0.009*"memoria" + 0.008*"nació" + 0.008*"Paul McCartney" + 0.008*"teatro" + 0.005*"eición" + 0.005*"contreras" + 0.005*"canciones" + 0.005*"sigamos" + 0.005*"jesús"'),
 (14,
  '0.011*"encuentroconlosases" + 0.007*"steve" + 0.005*"wozniak" + 0.005*"Steve Wozniak" + 0.005*"huehuetlán" + 0.005*"regístrate" + 0.004*"Insurgentes Sur" + 0.004*"arranca" + 0.004*"pulido" + 0.004*"quenosetepase"'),
 (15,
  '0.027*"levario" + 0.027*"marco_levario" + 0.020*"turcott" + 0.019*"Marco Levario Turcott" + 0.012*"arouet" + 0.011*"recomendamostambién" + 0.006*"#LaJornada" + 0.005*"Marco Levario" + 0.004*"homosexualidad" + 0.004*"jeje"'),
 (16,
  '0.007*"omg" + 0.005*"ENTÉRATE!" + 0.004*"premiosjuventud" + 0.003*"publimetrodominical" + 0.003*"emotiva" + 0.003*"ataúd" + 0.003*"higuita" + 0.003*"armó" + 0.003*"rapea" + 0.003*"Nacional @Javier_Duarte"'),
 (17,
  '0.021*"campusnewsmilenio" + 0.006*"drake" + 0.005*"josh" + 0.004*"crc" + 0.004*"interrogatoriomilenio" + 0.004*"tragaluz" + 0.003*"Historia |" + 0.003*"milenioforos" + 0.003*"ochocolumnas" + 0.003*"ácido"'),
 (18,
  '0.013*"gracias" + 0.013*"carlos" + 0.013*"ciudad" + 0.012*"saludos" + 0.010*"méxico" + 0.010*"informaciónw" + 0.009*"ciudad_méxico" + 0.009*"abriendolaconversación" + 0.008*"autos" + 0.008*"a"'),
 (19,
  '0.046*"mesaparatodos" + 0.039*"audiontx" + 0.037*"videontx" + 0.013*"marcaclaromvs" + 0.009*"infografíantx" + 0.008*"entrevistamvs" + 0.008*"@LuisCardenasMx FM" + 0.005*"opiniónmvs" + 0.004*"lomásescuchado" + 0.003*"eunice"'),
 (20,
  '0.015*"opiniónlsr" + 0.007*"laferia" + 0.007*"yosoitu" + 0.005*"xitlalhi" + 0.003*"cineaparte" + 0.003*"informeconfidencial" + 0.003*"vespertino" + 0.002*"envejecer" + 0.002*"dijiste" + 0.002*"philby"'),
 (21,
  '0.021*"engéntate" + 0.017*"libreacceso" + 0.014*"decibel" + 0.013*"másvalemaña" + 0.011*"estácarbón" + 0.011*"arternativo" + 0.009*"visitaguiada" + 0.009*"glamhour" + 0.008*"consultoriofinanciero" + 0.007*"norteña"'),
 (22,
  '0.098*"fm" + 0.082*"gracias" + 0.075*"it" + 0.074*"love" + 0.073*"yacierra" + 0.071*"política" + 0.011*"maría" + 0.009*"to" + 0.009*"of" + 0.008*"rt"'),
 (23,
  '0.009*"síndrome" + 0.008*"destino" + 0.007*"checa" + 0.006*"cantidad" + 0.006*"colonia" + 0.006*"taxi" + 0.005*"valdemar" + 0.005*"santa" + 0.005*"consultaxciclovía" + 0.005*"años_edad"'),
 (24,
  '0.011*"eedienteanimal" + 0.011*"leaks" + 0.009*"hoyenanimal" + 0.007*"ensenada" + 0.005*"plumaje" + 0.005*"lánzate" + 0.004*"antártica" + 0.004*"insistió" + 0.004*"externos" + 0.004*"Video Una"'),
 (25,
  '0.065*"laotraopinión" + 0.040*"laotraopinion" + 0.022*"contraste" + 0.012*"EN CONTRASTE" + 0.011*"Plumas Invitadas" + 0.011*"plumas" + 0.005*"deditos" + 0.004*"promiscuidad" + 0.004*"rascón" + 0.004*"andaba"'),
 (26,
  '0.004*"bla" + 0.004*"hey" + 0.004*"periodismoitam" + 0.003*"bibliotecas" + 0.003*"break" + 0.003*"rodriguez" + 0.003*"MI RESPONSABILIDAD" + 0.002*"normalidad" + 0.002*"alcoholímetro" + 0.002*"julian"'),
 (27,
  '0.060*"a" + 0.035*"el" + 0.027*"y" + 0.014*"video" + 0.009*"queda" + 0.009*"leer" + 0.008*"increíble" + 0.008*"movimiento" + 0.008*"preventiva" + 0.008*"prisión_preventiva"'),
 (28,
  '0.055*"lomásyi" + 0.019*"notieress" + 0.012*"CRISIS VENEZUELA" + 0.011*"opiniónuno" + 0.010*"acupuntura" + 0.007*"LoMásYI COLUMNA" + 0.007*"LoMásYI CRISIS VENEZUELA ??" + 0.007*"denunciaenuno" + 0.004*"TU VOZ" + 0.004*"entiemporeal"'),
 (29,
  '0.049*"enfoque" + 0.048*"enfoque_noticias" + 0.005*"jorge_sánchez" + 0.005*"permanecerá" + 0.004*"#EnPortada" + 0.004*"compositor" + 0.004*"Jorge Sánchez" + 0.004*"CdMx…" + 0.004*"bajoreserva" + 0.003*"articulistas"'),
 (30,
  '0.110*"anrtes" + 0.110*"impeeachment" + 0.110*"bigotes" + 0.110*"relamiéndose" + 0.110*"llames" + 0.110*"quètetomas" + 0.007*"despiertaconloret" + 0.006*"lasnoticiascondanielle" + 0.001*"blocks" + 0.001*"#EnPunto"'),
 (31,
  '0.014*"lajornada" + 0.009*"utilizar" + 0.007*"alternativa" + 0.006*"Jabra Elite Sport" + 0.006*"jabra" + 0.006*"elite" + 0.006*"sport" + 0.006*"favorita" + 0.005*"descubre" + 0.005*"masculino"'),
 (32,
  '0.019*"mons" + 0.006*"estrenos" + 0.005*"preparados" + 0.005*"exitosas" + 0.004*"desarrollan" + 0.004*"atractivos" + 0.003*"pianista" + 0.003*"silvestre" + 0.003*"tengamos" + 0.003*"donaldtrump"'),
 (33,
  '0.011*"pasedelista" + 0.010*"peñaespiadiplomaticos" + 0.009*"absolutamentefuerapeña" + 0.009*"pasedelista_pm" + 0.009*"eselnarcoestado" + 0.009*"peñaseacobardaantetrump" + 0.009*"xindignofuerapeña" + 0.008*"peñanietoencubridor" + 0.007*"peñayduartesoncomplices" + 0.007*"peñanieto"'),
 (34,
  '0.141*"a" + 0.035*"méxico" + 0.032*"trump" + 0.030*"duarte" + 0.019*"guatemala" + 0.018*"prisión" + 0.015*"acepta" + 0.015*"amigos" + 0.015*"condena" + 0.014*"ministro"'),
 (35,
  '0.006*"estable" + 0.005*"impreso" + 0.005*"vital" + 0.004*"unida" + 0.004*"emitió" + 0.004*"solórzano" + 0.004*"escudero" + 0.004*"Pablo Escudero" + 0.003*"sobrepoblación" + 0.003*"delictivas"'),
 (36,
  '0.075*"a" + 0.062*"y" + 0.047*"el" + 0.021*"cdmx" + 0.020*"méxico" + 0.010*"i" + 0.010*"eu" + 0.010*"necesario" + 0.009*"entérate" + 0.006*"gobierno"'),
 (37,
  '0.032*"excélsiortv" + 0.012*"excélsiorinforma" + 0.010*"jaja" + 0.009*"excélsior" + 0.009*"excélsiorinforma_excélsiortv" + 0.004*"¡Un" + 0.004*"Angélica Recillas" + 0.004*"recillas" + 0.004*"vervideo" + 0.003*"descifra"'),
 (38,
  '0.009*"sitrajor" + 0.006*"clics" + 0.004*"granizada" + 0.003*"Javier Duarte de Ochoa" + 0.003*"centenario" + 0.003*"jose" + 0.003*"sulaimán" + 0.003*"litigio" + 0.003*"incursión" + 0.002*"lajornadaopina"'),
 (39,
  '0.018*"climammtv" + 0.016*"telediariomatutino" + 0.016*"oficina_promociones" + 0.016*"ganaste" + 0.016*"par_boletos" + 0.016*"felicidades_ganaste" + 0.015*"lopezdoriga" + 0.013*"mmtv" + 0.008*"traslosfamosos" + 0.007*"enalerta"'),
 (40,
  '0.009*"puntosycomas" + 0.006*"mundano" + 0.006*"oncenoticias" + 0.004*"primerasplanas" + 0.004*"magazinesd" + 0.004*"sirpaulitas" + 0.004*"astillero" + 0.003*"calvillo" + 0.003*"Martín Moreno @_martinmoreno" + 0.003*"jajajajajajaja"'),
 (41,
  '0.007*"redesdepodermty" + 0.007*"documentoíndigo" + 0.007*"desglose" + 0.006*"tinnitus" + 0.006*"gallardo" + 0.005*"archivoíndigo" + 0.004*"redesdepoder" + 0.004*"mediáticas" + 0.004*"xl" + 0.004*"castigar"'),
 (42,
  '0.022*"enlared" + 0.019*"enlared_escribe" + 0.016*"ntt" + 0.004*"pecado" + 0.004*"franz" + 0.004*"efektonacional" + 0.003*"ño" + 0.003*"emma" + 0.003*"izz" + 0.003*"tp"'),
 (43,
  '0.008*"elcavernícola" + 0.006*"ocioyando" + 0.006*"increpa" + 0.006*"procesofoto" + 0.004*"tembladeras" + 0.003*"Edwin Rivera Paz" + 0.003*"Bronco”" + 0.003*"orgasmo" + 0.003*"bohemian" + 0.003*"rhapsody"'),
 (44,
  '0.067*"columna" + 0.043*"jajajajajaja" + 0.043*"platicar" + 0.043*"contento" + 0.015*"a" + 0.013*"the" + 0.009*"lunes" + 0.006*"unidad" + 0.006*"pasa" + 0.006*"tragedia"'),
 (45,
  '0.005*"bat" + 0.004*"be" + 0.004*"flight" + 0.004*"benedetti" + 0.003*"this" + 0.003*"pdf" + 0.003*"all" + 0.003*"much" + 0.003*"caray" + 0.003*"insomnio"'),
 (46,
  '0.020*"quenosetepase" + 0.013*"Opinión de" + 0.009*"porsinoloviste" + 0.006*"invitadas" + 0.006*"temperatura" + 0.005*"cancún" + 0.005*"noesbroma" + 0.005*"ssp" + 0.005*"cartel" + 0.004*"chécalo"'),
 (47,
  '0.003*"miscoordenadas" + 0.001*"@asilascosasw @ElFinanciero_Mx" + 0.001*"MisCoordenadas @ElFinanciero_Mx…" + 0.001*"MisCoordenadas @ElFinancieroTv @ElFinanciero_Mx…" + 0.001*"mayoreo" + 0.001*"complicar" + 0.001*"MisCoordenadas @asilascosasw…" + 0.001*"MisCoordenadas @ElFinancieroTv…" + 0.000*"concreto" + 0.000*"cruzaron"'),
 (48,
  '0.104*"alaire" + 0.022*"porlamañana" + 0.019*"telefórmula" + 0.013*"porlamañana_fm" + 0.011*"alaire_fm" + 0.006*"másgrandequenunca" + 0.006*"paraescuchar" + 0.006*"imagen_radio" + 0.006*"AM #" + 0.006*"imageninformativa"'),
 (49,
  '0.221*"margen" + 0.016*"blog" + 0.003*"puta" + 0.003*"raqqa" + 0.003*"Trump-Putin: ¿En" + 0.003*"duele" + 0.003*"invitada" + 0.003*"adela" + 0.003*"designado" + 0.003*"podía"')]

In [28]:

    

aut_top = {}
for key, value in model.id2author.items():
    aut_top[value] = model.get_author_topics(value)


    

In [31]:

    

aut_top


    

    
Out[31]:





{'ADNPolitico': [(36, 0.99962283812681996)],
 'ActualidadRT': [(27, 0.99986539535824071)],
 'Adela_Micha': [(12, 0.5099999999999969), (42, 0.010000000000002972)],
 'Amsalazar': [(22, 0.99609516976902457)],
 'AnaPOrdorica': [(6, 0.092489474817048722),
  (27, 0.072393630080785351),
  (34, 0.83421978233782712)],
 'AristeguiOnline': [(0, 0.087995473347999897),
  (6, 0.060985333952853021),
  (11, 0.27384731158770742),
  (18, 0.053999349674035801),
  (27, 0.16585999063923196),
  (34, 0.11970720923134785),
  (36, 0.17747656590622746),
  (44, 0.059947438377104451)],
 'Azteca': [(1, 0.05602259345501643),
  (6, 0.01059351487030669),
  (11, 0.031903206961147602),
  (18, 0.025919474742182359),
  (27, 0.18309339068189173),
  (31, 0.33831994530066317),
  (34, 0.11411589733733708),
  (36, 0.23876126663049779)],
 'AztecaNoticias': [(1, 0.022949177498866602),
  (6, 0.23794111825449862),
  (11, 0.067497729649529617),
  (23, 0.15886416654341443),
  (27, 0.20841287456848651),
  (34, 0.021885421146041646),
  (36, 0.27252841887016488)],
 'Canal22': [(1, 0.047701464104154719),
  (6, 0.032841165153867036),
  (11, 0.057316517347894003),
  (13, 0.25185946759071198),
  (18, 0.10844902266539742),
  (27, 0.30480551996662464),
  (34, 0.0365803521553624),
  (36, 0.1297318020527107),
  (44, 0.027517235730512863)],
 'CanalCongreso': [(6, 0.091875733106895799),
  (7, 0.26321177691584391),
  (11, 0.17659310710198325),
  (18, 0.024580715732069242),
  (27, 0.15512505506440963),
  (34, 0.021579178583795697),
  (36, 0.24680458985515683),
  (44, 0.010476025101312906)],
 'CanalOnceTV': [(1, 0.017245463954449491),
  (6, 0.040534436997640609),
  (11, 0.073658693556481081),
  (18, 0.055748992491267364),
  (27, 0.14145385475950312),
  (32, 0.33038186937824449),
  (34, 0.053491458283025609),
  (36, 0.12696830692828537),
  (44, 0.15908133518477258)],
 'CarlosLoret': [(1, 0.010703314022163265),
  (6, 0.12161783009651737),
  (11, 0.16336390589585148),
  (18, 0.17209856349963201),
  (27, 0.069217605665654644),
  (30, 0.11290618763335068),
  (34, 0.085073285087708353),
  (36, 0.24147950404139376),
  (44, 0.022901979985420602)],
 'CiroGomezL': [(0, 0.010588912292321664),
  (1, 0.076980210578534977),
  (6, 0.04468539432200308),
  (11, 0.11554571200394001),
  (18, 0.024656261903097065),
  (22, 0.022435349902834963),
  (27, 0.1211764434160732),
  (34, 0.088698314943567613),
  (36, 0.17894756556180794),
  (48, 0.30802529004022544)],
 'DeniseDresserG': [(1, 0.028338785250211121),
  (4, 0.25404083571358199),
  (11, 0.041001125808899287),
  (22, 0.19654496718078071),
  (27, 0.1184377692610296),
  (34, 0.17951391320186746),
  (36, 0.060503486041592482),
  (44, 0.069450515637591526),
  (45, 0.037517200633330729)],
 'DeniseMaerker': [(1, 0.15708079098876709),
  (6, 0.053336267216589038),
  (8, 0.146251503033488),
  (11, 0.1204979977563148),
  (18, 0.038768977714077051),
  (27, 0.12934906115184472),
  (34, 0.093835126933795018),
  (36, 0.24567423522751705),
  (44, 0.014944587620151538)],
 'DiegoEOsorno': [(11, 0.087739157206303112),
  (18, 0.24254752636452118),
  (27, 0.20270275699614856),
  (32, 0.020287159223607361),
  (36, 0.22596380488349047),
  (40, 0.2005329469875729)],
 'E_Q_': [(11, 0.16064049335431574),
  (18, 0.038038086569478546),
  (21, 0.10089873841228335),
  (22, 0.038425744018301115),
  (27, 0.10747136971813546),
  (34, 0.081364320888458824),
  (36, 0.21308011969306936),
  (47, 0.24664401662724195)],
 'EfektoNoticias': [(1, 0.046902823917767122),
  (6, 0.1625646757742088),
  (11, 0.12782436443778658),
  (27, 0.25030558546580223),
  (34, 0.047867254312973138),
  (36, 0.069561667374142253),
  (42, 0.26660539207577466),
  (44, 0.014490697276725906)],
 'EjeCentral': [(1, 0.086198326231401237),
  (6, 0.12458699700653383),
  (11, 0.11013359666127215),
  (18, 0.11579529984013058),
  (27, 0.11828727731301635),
  (34, 0.11148869935025192),
  (35, 0.13395598661287988),
  (36, 0.16326605650440326),
  (44, 0.031858276361602975)],
 'ElFinanciero_Mx': [(1, 0.045393931266990213),
  (3, 0.081633536516302715),
  (6, 0.12796969641532152),
  (11, 0.10332265480573809),
  (18, 0.052286531172069502),
  (21, 0.11623671807191478),
  (27, 0.12693222198290285),
  (34, 0.041615787537877785),
  (36, 0.29677824023456056)],
 'ElHuffPost': [(1, 0.071289303703957321),
  (3, 0.012916240977904269),
  (6, 0.057833350366992643),
  (11, 0.11292667799669547),
  (27, 0.30452656482275864),
  (34, 0.055115804346630597),
  (36, 0.1028850381646256),
  (44, 0.023832488464130587),
  (49, 0.25064354988497983)],
 'El_Universal_Mx': [(1, 0.074891200855754098),
  (3, 0.022518314958744561),
  (6, 0.081899328496785648),
  (11, 0.089635963790289375),
  (18, 0.057825806645347942),
  (27, 0.24173459916814172),
  (29, 0.13111767213159906),
  (34, 0.062390051419698382),
  (36, 0.21136189839965452),
  (44, 0.02653915087510542)],
 'EnfoqueNoticias': [(1, 0.069362529776735182),
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  (49, 0.16126753382106163)],
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  (44, 0.10348626437622319)],
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  (34, 0.037925051201869488),
  (36, 0.13972408048704774),
  (44, 0.068726836355461673)],
 'nacholozano': [(1, 0.11694338024015831),
  (3, 0.02775118629122687),
  (6, 0.025552179938729953),
  (11, 0.10122063682573477),
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  (27, 0.16621918487400414),
  (34, 0.025564282871187824),
  (36, 0.090875114133817519)],
 'nexosmexico': [(1, 0.17116712334175346),
  (3, 0.019273042019973433),
  (6, 0.054596916840473436),
  (11, 0.057551158251696023),
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  (34, 0.051848749091097705),
  (36, 0.18960050388310759),
  (42, 0.079453952314039483),
  (44, 0.015126025635248565)],
 'panchogarfias': [(0, 0.013973343460932996),
  (1, 0.085067698554619819),
  (3, 0.063700390760039013),
  (4, 0.023076226394800062),
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  (34, 0.053009019543138219),
  (36, 0.356393484559617),
  (37, 0.102989898352241),
  (46, 0.014531459994708906)],
 'politicomx': [(0, 0.039781344885046067),
  (1, 0.012661465516421179),
  (3, 0.011704127872798576),
  (6, 0.12663588129038961),
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  (34, 0.097413321141050585),
  (36, 0.32698726994488053),
  (44, 0.024104948360004663)],
 'puigcarlos': [(1, 0.051662156939149412),
  (6, 0.10932288844773522),
  (17, 0.020918710085716129),
  (18, 0.091691610873459534),
  (22, 0.016857588176294791),
  (23, 0.016452366652675899),
  (27, 0.18373448407929857),
  (31, 0.012953041250377108),
  (34, 0.15722886567600441),
  (36, 0.2458442045321092),
  (40, 0.082026793330210068)],
 'revistaetcetera': [(1, 0.053961961442684607),
  (3, 0.03353428581181183),
  (6, 0.19757082600679471),
  (11, 0.083030338266035689),
  (13, 0.028725082760230367),
  (15, 0.022197257959874726),
  (27, 0.10403020030127066),
  (34, 0.065812930912087023),
  (36, 0.2571935821755203),
  (37, 0.099909476943530445),
  (44, 0.041635099232120817)],
 'revistaproceso': [(0, 0.014530504805027688),
  (1, 0.042274431104138484),
  (3, 0.021815484284464597),
  (6, 0.087198805242770502),
  (11, 0.14671998789522825),
  (18, 0.05788153253544339),
  (27, 0.20707134799580112),
  (34, 0.085260364763785859),
  (36, 0.22034065831362384),
  (43, 0.096375969314823298),
  (46, 0.011815241527141654)],
 'ricardomraphael': [(1, 0.039287459088120952),
  (6, 0.091369006299707387),
  (11, 0.11673273902580003),
  (13, 0.070028953123854543),
  (18, 0.03950759189434852),
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  (34, 0.14214351102402564),
  (36, 0.18715293432496055),
  (45, 0.16133779222413144)],
 'rivapa': [(1, 0.1278440438026606),
  (4, 0.014041094263617592),
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 'sacroprofano': [(1, 0.048119931467131567),
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 'sdpnoticias': [(6, 0.17582422955514954),
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 'sergioaguayo': [(1, 0.060215080258267627),
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 'sopitas': [(1, 0.06627238058082642),
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  (44, 0.027210393606899207)],
 'soyfdelrincon': [(0, 0.013867259329826982),
  (1, 0.079739729372590371),
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  (46, 0.015588023380375626)],
 'telediariomty': [(0, 0.013236929793657476),
  (1, 0.060266730803780331),
  (3, 0.026121201883325673),
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  (39, 0.1676565574327214),
  (42, 0.011250042777654796),
  (44, 0.031943768153562084)],
 'warkentin': [(1, 0.036074368660565244),
  (3, 0.02404604726212866),
  (6, 0.082644921820967096),
  (11, 0.10544945319329842),
  (18, 0.019292907924494108),
  (22, 0.02790650391150809),
  (27, 0.22177651644263649),
  (34, 0.042637794928677114),
  (36, 0.14145948449117074),
  (42, 0.24722220408281961),
  (44, 0.029579950303716008)]}

In [ ]:

    

%%time
from sklearn.manifold import TSNE
tsne = TSNE(n_components=2, random_state=0)
smallest_author = 0  # Ignore authors with documents less than this.
authors = [model.author2id[a] for a in model.author2id.keys() if len(model.author2doc[a]) >= smallest_author]
_ = tsne.fit_transform(model.state.gamma[authors, :])  # Result stored in tsne.embedding_


    

In [ ]:

    

from bokeh.io import output_file
output_file('grafica.html')


    

In [ ]:

    

from bokeh.models import HoverTool
from bokeh.plotting import figure, show, ColumnDataSource

x = tsne.embedding_[:, 0]
y = tsne.embedding_[:, 1]
author_names = [model.id2author[a] for a in authors]

scale = 0.01
author_sizes = [len(model.author2doc[a]) for a in author_names]
radii = [size * scale for size in author_sizes]

source = ColumnDataSource(
        data=dict(
            x=x,
            y=y,
            author_names=author_names,
            author_sizes=author_sizes,
            radii=radii,
        )
    )

hover = HoverTool(
        tooltips=[
        ("author", "@author_names"),
        ("size", "@author_sizes"),
        ]
    )

p = figure(tools=[hover, 'crosshair,pan,wheel_zoom,box_zoom,reset,save,lasso_select'])
p.scatter('x', 'y', radius='radii', source=source, fill_alpha=0.6, line_color=None)
show(p)


    

In [ ]:

    

from gensim.similarities import MatrixSimilarity


index = MatrixSimilarity(model[list(model.id2author.values())])


    

In [ ]:

    

from gensim import matutils
import pandas as pd


author_vecs = [model.get_author_topics(author) for author in model.id2author.values()]

def similarity(vec1, vec2):
    dist = matutils.hellinger(matutils.sparse2full(vec1, model.num_topics), \
                              matutils.sparse2full(vec2, model.num_topics))
    sim = 1.0 / (1.0 + dist)
    return sim

def get_sims(vec):
    sims = [similarity(vec, vec2) for vec2 in author_vecs]
    return sims

def get_table(name, top_n=10, smallest_author=1):
    sims = get_sims(model.get_author_topics(name))


    table = []
    for elem in enumerate(sims):
        author_name = model.id2author[elem[0]]
        sim = elem[1]
        author_size = len(model.author2doc[author_name])
        if author_size >= smallest_author:
            table.append((author_name, sim, author_size))
            

    df = pd.DataFrame(table, columns=['Author', 'Score', 'Size'])
    df = df.sort_values('Score', ascending=False)[:top_n]
    
    return df


    

In [ ]:

    

get_table('Pajaropolitico',top_n=136)


    

In [ ]:

    

import pickle
dictionary = pickle.load(open("dictionary.p", "rb"))


    

In [ ]:

    

import pyLDAvis.gensim
pyLDAvis.enable_notebook()


    

In [ ]:

    

pyLDAvis.gensim.prepare(model, model.corpus,dictionary)


    

In [ ]: