TiagoPires80 - Tweet Data Analysis

Summarization

The first tweet expresses outrage over an invasion and lack of diversity. The second tweet compliments a project and tags several users.

Topic Modeling

1. Outrage/Disgust (expressed through use of "vergonha", "invasão", "fuck")
2. Diversity (mentioned in the hashtag #diversidade and #diversity)
3. Politics (mentions @PT_Invictus, a political party in Portugal)
4. Compliments/Appreciation (for the project mentioned by @BigBlockPunkz)
5. Personal interests (mentions of specific Twitter users such as @TiagoPe34039221 and @HMartins1980)

Emotional Analysis

The first tweet expresses anger and disgust towards an invasion and lack of diversity. It uses strong language and hashtags like "fuckEu" and "vergonha" (shame). It also tags multiple people, possibly to call for their attention or support on the issue. The second tweet shows positive emotions towards a project, using heart emojis and complimenting it as "great." It also tags multiple people, potentially to show appreciation or share the project with them.

Trend Analysis

1. Outrage and criticism towards a certain event or situation (#vergonha, #invasion)
2. Advocacy for diversity (#diversity)
3. Use of profanity and aggressive language (#fuckEu, @CaralhoPhilly)
4. Positive feedback and appreciation for a particular project or initiative (@BigBlockPunkz, @Igor_Jhonnatan, @GilaGilardino)
5. Individual mentions and tagging of other Twitter users (@PT_Invictus, @m_g_n3, @vitormramalho, @TiagoPe34039221, @TiagoPe71147045, @TiagoPires80, @HMartins1980)