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Manga Maniac Cafe

, try also: astronerdboy, melinda beasi, melinda beasi
  1. August 20, 2010 — GUEST POST on Manga Maniac Cafe When I’d walk home from elementary school, there would be a dragon sitting on my shoulder. Not a big one, just a pocket-sized one. Green scales and small...

  2. in Arts by MangaBlog with a GOOD
    Overall mood: GOOD! Postitive adjectives found in the text: grand, happy, eternal. Negative adjectives found in the text: blind. Most frequent adjectives: blind. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 31, 2010 — Aguiar on Songs to Make You Smile (Prospero’s Manga) Cynthia on vol. 1 of Under Grand Hotel (Boys Next Door) Sean Gaffney on vol. 1 of Urusei Yatsura (A Case Suitable for Treatment) Julie Opipari on vol. 18 of The Wallflower...

  3. by Manga Maniac Cafe with a VERY GOOD
    Overall mood: VERY GOOD! Postitive adjectives found in the text: cute, nice, handsome. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 26, 2010 — Read! Ok, so the picture in the post isn’t me.  This is Buu, the Manga Maniac Cafe’s handsome Head of Security.  Here he is, showing off Ascendant by...

  4. by MangaBlog with a VERY GOOD
    Overall mood: VERY GOOD! Postitive adjectives found in the text: beautiful, popular. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 26, 2010 — Suitable for Treatment) Ken Haley on vol. 1 of Knights (Sequential Ink) Kristin on vol. 1 of Nabari no Ou and vol. 1 of Sumomomo, Momomo (Comic Attack) Leroy Douresseaux on vol. 2 of Panic x Panic (I Reads...

  5. in Living by Blog@Newsarama with a GOOD
    Overall mood: GOOD! Postitive adjectives found in the text: friendly, perfect, wonderful. Negative adjectives found in the text: obnoxious, traumatic, odd. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 25, 2010 — her blog, Manga Maniac Cafe .  

  1. August 24, 2010 — . Reviews Tangognat on vol. 4 of Alice in the Country of Hearts and vol. 4 of Happy Cafe (Tangognat) Caddy C. on Antique Bakery (A Feminist Otaku) Julie Opipari on vol. 1 of Crown of Love (Manga...

  2. in Arts by MangaBlog

    August 19, 2010 — Webb on vol. 1 of House of Five Leaves (Manga Life) Derik Badman on vols. 8-10 of Mushishi (Madinkbeard) Julie Opipari on vols. 1-9 of Sand Chronicles (Blog@Newsarama) Kiki Van De Camp on vol. 7 of Sand Chronicles (Animanga...

  3. in News by Blog@Newsarama with a VERY BAD
    Overall mood: VERY BAD! Postitive adjectives found in the text: sure. Negative adjectives found in the text: selfish, traumatic, painful. Most frequent adjectives: loved. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 19, 2010 — , you can read more of Julie’s work on her blog, Manga Maniac Cafe .  

  4. by Manga Bookshelf with a VERY BAD
    Overall mood: VERY BAD! Postitive adjectives found in the text: good. Negative adjectives found in the text: tiresome. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 17, 2010 — release in September. Check out Michelle’s review for more. Elswhere in reviews, at Manga Maniac Cafe, Julie takes a look at volume four of Sarasah (Yen...

  5. in News by MangaBlog with a GOOD
    Overall mood: GOOD! Postitive adjectives found in the text: elegant, grand, happy. Negative adjectives found in the text: blind, ugly. Most frequent adjectives: maniac. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 12, 2010 — for Treatment) Julie Opipari on vol. 5 of Rasetsu (Manga Maniac Cafe) Erica Friedman on Raubritter (Okazu) Erica Friedman on Rose Meets Rose (Okazu) Julie Opipari on vol. 4 of Sarasah...

  6. August 10, 2010 — grateful that her family grumbles only occasionally about the amount of time she spends buried in her books. In addition to reading Your Manga Minute every Wednesday, you can read more of...

  7. in News by Manga Bookshelf with a BAD
    Overall mood: BAD! Postitive adjectives found in the text: quiet, rich, popular. Negative adjectives found in the text: evil, anxious, dramatic. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 09, 2010 — popular releases, including Goong , Sarasah , Moon Boy , Black God , and the dramatic final volume of One Thousand and One Nights . For anxious readers, reviews of some of these volumes have already started to...

  8. in Entertainment by MangaBlog with a GOOD
    Overall mood: GOOD! Postitive adjectives found in the text: exhaustive, original. Negative adjectives found in the text: blind. Most frequent adjectives: maniac. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    August 05, 2010 — of Fake (Manga Jouhou) AstroNerdBoy on vol. 11 of Gakuen Alice (AstroNerdBoy’s Anime and Manga Blog) Clive Owen on vol. 10 of Hellsing (Animanga Nation) Julie Opipari on vol. 13 of Inubaka: Crazy for...

  9. July 30, 2010 — . Tangognat reads a handful of Harlequin Romance manga from Digital’s eManga site. Sesho on vol. 4 of Blame! (Sesho’s Anime and Manga Reviews) Julie Opipari on vol. 6 of B.O.D.Y. (Manga...

  10. in Internet by Manga Bookshelf with a VERY GOOD
    Overall mood: VERY GOOD! Postitive adjectives found in the text: wonderful, popular, proud. Negative adjectives found in the text: avid. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
    sentiment

    July 26, 2010 — of Kim Sung-hwan, one of Korea’s most prominent political cartoonists. This week in reviews, Julie at Manga Maniac Cafe checks out two Yen Press titles,...

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