Toy Complex

om toy

#Siguiendo-a-Namsoo-a-la-Casa-de-Ba-osAsí toy

#Re-Monsterque hermoso, simplemente hermoso
toy llorando de felicidad
que buen manga

#LOOKING-AT-YOUes toy enamorada de este manga. Quien noce enamoraria de este manga. Lo amo lo amo lo amoooooo........

"Please quit making me blush!;"


Please don't toy with me, miss Nagatoro! matching icons



Anime; Please don't toy with me, miss Nagatoro!

es un aNIME SE LLAMA Lovely complex el chico sellama otani y la chica koizumi

#Una-Verdad-Inc-modaLPM!!! ME HICISTE LLORAR AUTORA DE MI KOKORO....

TOY LLORANDO RE FEO WAY >:"V


me encanto!!!! dios lo ame!!! lo voy a releer y así....



pensándolo mejor....




LO COMPARTIRE CON EL MUNDO *_*

#T-MOON-COMPLEX-Xoye no se si todavía traduzcas pero este manga es genial POR FAVOR CONTINUA SUBIENDOLO
ONEGAIIIIIII

hello everyone! finally completed work on the first chapter of the comic book, the universe, gods, war and love. this is a complex but interesting comic https://ru.niadd.com/original/10051999.html

#BJ-Alex😂siento q se va a emborrachar o ese vino tiene algo pero mi 15vo sentido😂 XD dice q va a entrar cuando este grabando y la va a cagar :c ya me toy asiendo a la idea de q despues de esto comenzaran los problemas el rechazo :v tanta historia q me creo en mi cabeza ...'-' pero algo me dice q va hacer asi dentro de poco habra final(? '^'.........

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Kanojo mo Kanojo !
( Girlfriend, girlfriend ! )

Girlfriend, Girlfriend (Japanese: カノジョも彼女, Hepburn: Kanojo mo Kanojo, "She is the Girlfriend too") is a Japanese romantic comedy manga series written and illustrated by Hiroyuki. It began serialization in Kodansha's Weekly Shōnen Magazine in March 2020, and has been compiled into five tankōbon volumes as of April 2021. An anime television series adaptation by Tezuka Productions will premiere in July 2021 on the Animeism programming block.

Genre; Romance/Comedy

Manga;

Written by; Hiroyuki

Published by; Kodansha
English publisher; NA Kodansha USA (digital)

Magazine;Weekly Shōnen Magazine
Demographic; Shōnen

Original run; March 4, 2020 – present
Volumes; 6 (List of volumes)


Anime television series

Directed by; Satoshi Kuwabara
Written by; Keiichirō Ōchi
Music by; Miki Sakurai Tatsuhiko Saiki

Studio; Tezuka Productions

Original network; JNN (MBS, TBS, BS-TBS), AT-X
Original run; July 3, 2021 – scheduled


Naoya Mukai (向井 直也, Mukai Naoya)
Voiced by: Junya Enoki[2] (anime)

Saki's childhood friend. He confessed to her every month until she accepted, but also agrees to take Nagisa as a girlfriend as well as he found her to be cute.

Saki Saki (佐木 咲, Saki Saki)
Voiced by: Ayana Taketatsu[3] (PV), Ayane Sakura[2] (anime)

Naoya's childhood friend and his initial girlfriend. She shares a first and last name as her parents thought such a name would be cute. She has a complex about her small chest, especially when compared to Nagisa.Nagisa Minase

 (水瀬 渚, Minase Nagisa)
Voiced by: Ayane Sakura[3] (PV), Azumi Waki[2] (anime)

A classmate of Naoya, who becomes his second girlfriend after confessing to him. She fell in love with Naoya as he inspired her to pursue skills that she was good at.

Rika Hoshizaki (星崎 理香, Hoshizaki Rika)

Voiced by: Ayana Taketatsu[2] (anime)

A schoolmate of Naoya. She is secretly a popular vlogger who goes by the online alias Mirika (ミリカ). She intends to become Naoya's third girlfriend, going as far as stalking him and his girlfriends, as well as camping outside his house to get his attention.

Shino Kiryū (桐生 紫乃, Kiryū Shino)

Voiced by: Rie Takahashi[2] (anime)

Saki's best friend and classmate. She discovers Naoya's romantic arrangement with Saki and Nagisa and she disapproves of it. It is later discovered that she has feelings for Naoya as well.
Risa Hoshizaki (星崎 理沙, Hoshizaki Risa)Rika's younger sister.


( MBS listed the series premiere at 26:25 on July 2, 2021, which is July 3 at 2:25 a.m. )

As technology advances, universities and colleges around the world are finding new ways to use technology to improve the student experience. One such way is the use of chatbots powered by data science to help students with their inquiries. These chatbots can provide instant assistance to students and save time and resources for the college staff. In this article, we will explore the benefits of using a college enquiry chatbot powered by data science.
A college enquiry chatbot is an AI-powered chatbot that can provide students with instant answers to their inquiries about courses, admissions, fees, scholarships, and more. The chatbot uses natural language processing (NLP) and machine learning (ML) algorithms to understand and respond to student inquiries. These chatbots can also collect data on the types of inquiries and questions asked by students, which can be used to improve the services provided by the college.
One of the main benefits of using a college enquiry chatbot is the 24/7 availability it provides. Students can access the chatbot at any time of the day or night, without having to wait for a staff member to be available. This can be particularly useful for students who are located in different time zones or who have busy schedules that prevent them from making phone calls or visiting the college in person.
Another benefit of using a college enquiry chatbot is the speed at which it can provide answers. With the use of NLP and ML algorithms, the chatbot can understand the context of the student's inquiry and provide a relevant response within seconds. This can save students a lot of time and frustration compared to waiting on hold on the phone or sending an email and waiting for a response.
Data science plays a crucial role in the development and optimization of a college enquiry chatbot. The chatbot can be trained using historical data on the types of inquiries and questions asked by students. This data can be used to develop and refine the NLP and ML algorithms used by the chatbot to ensure accurate and relevant responses. As more data is collected, the chatbot can be further optimized to improve its accuracy and effectiveness.
One example of how data science can be used to optimize a college enquiry chatbot is through sentiment analysis. Sentiment analysis involves using ML algorithms to analyze the tone and emotion of a message. By analyzing the sentiment of the messages sent to the chatbot, the college can gain insights into the overall satisfaction of students with their experience. This information can then be used to identify areas for improvement in the services provided by the college.
Another example of how data science can be used in a college enquiry chatbot is through personalized recommendations. By analyzing the historical data on the types of inquiries and questions asked by students, the chatbot can provide personalized recommendations to students based on their previous interactions with the chatbot. This can help students find the information they need more quickly and easily.
In addition to improving the student experience, a college enquiry chatbot can also save time and resources for the college staff. By automating the process of answering common inquiries, staff members can focus on more complex tasks and provide better service to students who require additional assistance.
Overall, a college enquiry chatbot powered by data science can provide many benefits to students and staff alike. With its 24/7 availability, fast response times, and personalized recommendations, the chatbot can improve the student experience and save time and resources for the college staff. As data science continues to advance, we can expect to see even more innovative ways in which chatbots can be used to improve education and student services.
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