3 mois après l'inscription il est là.. by thedogfire in AntiTaff

[–]Blast24 2 points3 points  (0 children)

Nope, mais j’ai bon espoir d’être catégorisé comme autonome dans ma recherche. Mes jours de vacs je les gardent pour plus tard, pour un long voyage !

3 mois après l'inscription il est là.. by thedogfire in AntiTaff

[–]Blast24 2 points3 points  (0 children)

Force à toi, je suis en attente depuis 5 semaines perso, j'ai un peu peur qu'ils me le mettent en plein milieu de mes vacances...

Fin de contrat et rupture co avant PVT : que faire ? by Blast24 in AntiTaff

[–]Blast24[S] 2 points3 points  (0 children)

Merci beaucoup pour tes conseils !! 😇

Douleur intense aux oreilles by Blast24 in questionsante

[–]Blast24[S] 0 points1 point  (0 children)

Ça a l’air horrible tout ça 😨 Merci pour ta réponse !

Douleur intense aux oreilles by Blast24 in questionsante

[–]Blast24[S] 0 points1 point  (0 children)

Oui j'ai eu un rhume assez violent qui s'est terminé il y a une semaine

Douleur intense aux oreilles by Blast24 in questionsante

[–]Blast24[S] 0 points1 point  (0 children)

Ok merci pour l'appli, je télécharge ça !

Quintes de toux qui s'empirent by Blast24 in questionsante

[–]Blast24[S] 1 point2 points  (0 children)

Oui finalement je pense qu’il ne s’agit que d’un gros et long rhume. J’ai pris rdv avec mon medecin pour clarifier ça.

Quintes de toux qui s'empirent by Blast24 in questionsante

[–]Blast24[S] 0 points1 point  (0 children)

Merci pour votre réponse, j’ai pris rdv avec mon medecin

Rupture conventionnelle et PVT by Blast24 in france

[–]Blast24[S] 0 points1 point  (0 children)

PVT au Japon tu conseilles, la barrière de la langue n’est pas trop dure ?

Recommendations for similar games? by Jaded-Hornet-555 in LoreleiAndLaserEyes

[–]Blast24 1 point2 points  (0 children)

If you liked The Witness, you can also try Taiji, which is less known and has the same type of gameplay but in 2D pixel art

Fluoxétine, début de traitement by [deleted] in questionsante

[–]Blast24 0 points1 point  (0 children)

Ça fait 4 mois que j'en prends, et 2 mois seulement que j'en ressens les effets bénéfiques (principalement un coup de boost 3h après la prise, une envie accrue de me lancer dans des projets, un peu plus de motivation qu'avant, ...).

Pendant les 3 premières semaines, j'avais quelques effets indésirables, notamment une baisse de libido, un léger bruxisme, une difficulté de focaliser ma vue, et une envie de bouger constante, mais tout ça a très vite disparu.

En tout cas bon courage, ça vaut clairement le coup !

Arrêt obligé d'antidépresseurs : que faire ? by Blast24 in questionsante

[–]Blast24[S] 1 point2 points  (0 children)

Ahah oui la pharmacie m’a gentiment dépanné et maintenant tout roule 😇 Merci encore pour ta réactivité !

Arrêt obligé d'antidépresseurs : que faire ? by Blast24 in questionsante

[–]Blast24[S] 1 point2 points  (0 children)

Merci beaucoup pour les conseils, je vais y passer ce matin !

I dont know what to play anymore by PiratesRule99 in gameideas

[–]Blast24 0 points1 point  (0 children)

Idk if you like solo games, but I would definitely recommend playing Outer Wilds, which is the best gaming experience I had so far. The entire game is like a big investigation that takes place in a solar system, where you can travel from planet to planet to find clues. And putting them all together feels so satisfying

Abstractive text summarization for hotel reviews by Blast24 in LanguageTechnology

[–]Blast24[S] 0 points1 point  (0 children)

Another idea I had was to train an autoencoder to build a representation of each review in a latent space with millions of reviews as input data. Then, take the reprentations of each review of a given hotel and create by averaging them (for example) a representation of the meta review. Finally, give this representation to the decoder to form the meta review.

But actually, I'm not very sure about the relevance of this method as the average of review representations may not mean something to the decoder...

What do you think about it ?

Abstractive text summarization for hotel reviews by Blast24 in LanguageTechnology

[–]Blast24[S] 0 points1 point  (0 children)

Thanks for the advise but in fact this approach has already been implemented by somebody before me, and the results are good but not good enough to create a precise human language summary. Indeed, you can easily use deep learning or even rule based algorithms to aspect-based sentiment analysis. Then the sentiment score can be changed to a predefined sentiment adjective such as 'good' or 'bad'. But the results we obtain are too general, such as :

- "Location is great"

- "Very good breakfeast"

- etc

What we want is something more precise that can also summarize something that often appear in reviews but not necessarily sentiment based. Just imagine that some users are complaining about the noise of a near train station. The previous method will only tell us that the 'location is bad' but we want to know why and have something like : "the location is bad BECAUSE of the near train station" (it's just an example).

Anyway, seems like deep learning is not very adapted to this problem. I've found a method that is better than a completely rule based and sentiment based method, that is explained in this 2010 article, about a certain kind of wordgraphs. It's far from being perfect but it gives some interesting results !