Tweets Analysis - Keyword: @conacytparaguay
Overview
Total number of tweets analysed
32
Earliest tweet was on
2023-03-17
Latest tweet was on
2023-03-25
Tweets covering
8 days
Average age of authors' accounts
6 years
Summarization
The tweets cover various topics related to the work and accomplishments of the public innovation program, Innovadores Públicos, in Paraguay. They include examples and explanations of the program's natural language processing and named entity recognition tasks for language identification and Spanish code classification. There is also a mention of the program being presented as one of the five successful cases at a summit. The tweets acknowledge the support of Conacyt Paraguay and include updates on upcoming events and discussions.
Topic Modeling
- NLP and NER tasks applied to language and entity identification in text
- Success stories and programs of Conacyt Paraguay
- Challenges and criticisms of Conacyt Paraguay
- Examples and demonstrations of Spanish code classification
- Discussion and promotion of scientific research and innovation
Emotional Analysis
The tweets in this collection express a range of emotions, including excitement and pride over the success of a public innovation program, frustration and anger towards individuals accused of misusing funds, and interest in educational opportunities related to research support. There are also technical discussions regarding task examples and results. Overall, the emotions expressed in the tweets are varied and appear to be tied to specific topics and discussions.
Trend Analysis
- NLP/NER applied to language identification, named entities, and Spanish code classification
- Success of Innovadores Públicos program
- Discussion and criticism of Conacyt Paraguay
- Cycle of Talks on research support platforms
- Prompts and examples for NLP/NER tasks using chatGPT
Types of Tweets
Number of Retweets
11
Percentage of total tweets
34%
Number of Original tweets
3
Percentage of total tweets
9%
Number of tweets that contain Mentions
32
Percentage of total tweets
100%
Number of tweets that were Replies
17
Percentage of total tweets
53%
Number of tweets that were Quotes
3
Percentage of total tweets
9%
Number of tweets that contain Hashtags
7
Percentage of total tweets
21%
Top 5 devices used to tweet
Source | Count |
---|---|
Twitter Web App | 20 |
Twitter for Android | 10 |
Twitter for iPhone | 2 |
What devices were used to tweet

Top 10 accounts with highest followers count
Username | Name | Bio | Followers count |
---|---|---|---|
Maria_Liz_M11 | Maria Liz | Mamá de Federico. Profesora, Abogada, Escribana y Notaria Pública. Olimpista Ex modelo. | 32,452 |
oscarlode | Oscar Lode | Periodista | Comunicación estratégica | olimpista | Iberis 2015 | Live Forever | 🍖🍺 | 7,427 |
elAsunceno | Periódico ElAsunceno | Soy dios, pero puedes llamarme ramón morales | 6,646 |
rsgagro | RSG | ahora sólo quiero paz | 3,543 |
ENIparaguay | Estrategia Nacional de Innovación | Somos una iniciativa privada-pública. Hacemos que la #innovación impulse, acelere y sustente el desarrollo de #Paraguay ¡Pasá y construyamos juntos!🇵🇾 | 3,030 |
JAMPatotero | ProvoloneRancio | cuajador anti-ciclista... | 2,388 |
upap_py | UPAP | #Sumate, acá estamos todos. | 2,185 |
diegomolinaspy | 𝖀𝖓 𝕱𝖚𝖑𝖆𝖓𝖔 𝖉𝖊 𝖙𝖆𝖑 | 𝑨𝒃𝒐𝒈𝒂𝒅𝒐. 𝑵𝒐𝒕𝒂𝒓𝒊𝒐 𝒚 𝑬𝒔𝒄𝒓𝒊𝒃𝒂𝒏𝒐 𝑷ú𝒃𝒍𝒊𝒄𝒐. 𝑬𝒔𝒑𝒆𝒄𝒊𝒂𝒍𝒊𝒔𝒕𝒂 𝒆𝒏 𝑮𝒐𝒃𝒆𝒓𝒏𝒂𝒃𝒊𝒍𝒊𝒅𝒂𝒅, 𝑮𝒆𝒓𝒆𝒏𝒄𝒊𝒂 𝑷𝒐𝒍í𝒕𝒊𝒄𝒂 | 2,114 |
AndreaMPicaso | Andrea Picaso | @Becalpy Economista👩🏽💻Apasionada por la Gestión Pública🇵🇾Master of Public Policy @UniMelb🦘@ILGAlumni @Georgetown @KoicaAlumniGt @Haciendapy @DendePy XVI | 1,734 |
FundEurosur | Fundación Eurosur | Fundación Eurosur para la cooperación entre Europa y América Latina | 362 |
Top 10 accounts with highest friends count
Username | Name | Bio | Followers count |
---|---|---|---|
elAsunceno | Periódico ElAsunceno | Soy dios, pero puedes llamarme ramón morales | 5,516 |
rsgagro | RSG | ahora sólo quiero paz | 4,989 |
Maria_Liz_M11 | Maria Liz | Mamá de Federico. Profesora, Abogada, Escribana y Notaria Pública. Olimpista Ex modelo. | 4,493 |
diegomolinaspy | 𝖀𝖓 𝕱𝖚𝖑𝖆𝖓𝖔 𝖉𝖊 𝖙𝖆𝖑 | 𝑨𝒃𝒐𝒈𝒂𝒅𝒐. 𝑵𝒐𝒕𝒂𝒓𝒊𝒐 𝒚 𝑬𝒔𝒄𝒓𝒊𝒃𝒂𝒏𝒐 𝑷ú𝒃𝒍𝒊𝒄𝒐. 𝑬𝒔𝒑𝒆𝒄𝒊𝒂𝒍𝒊𝒔𝒕𝒂 𝒆𝒏 𝑮𝒐𝒃𝒆𝒓𝒏𝒂𝒃𝒊𝒍𝒊𝒅𝒂𝒅, 𝑮𝒆𝒓𝒆𝒏𝒄𝒊𝒂 𝑷𝒐𝒍í𝒕𝒊𝒄𝒂 | 3,748 |
JAMPatotero | ProvoloneRancio | cuajador anti-ciclista... | 2,344 |
oscarlode | Oscar Lode | Periodista | Comunicación estratégica | olimpista | Iberis 2015 | Live Forever | 🍖🍺 | 2,085 |
AndreaMPicaso | Andrea Picaso | @Becalpy Economista👩🏽💻Apasionada por la Gestión Pública🇵🇾Master of Public Policy @UniMelb🦘@ILGAlumni @Georgetown @KoicaAlumniGt @Haciendapy @DendePy XVI | 1,975 |
FundEurosur | Fundación Eurosur | Fundación Eurosur para la cooperación entre Europa y América Latina | 801 |
yudith_galeano | Yudith Galeano | Comunicadora de ciencia, esposa y mamá feliz 🥰 | 647 |
galeanolu27 | @lucigaleano27 | Cambia el mundo con tus acciones no con tus opiniones 💪💝💝💝💝 | 428 |
Most active users
Username | Bio | Number of tweets |
---|---|---|
marvinaguerot | #NLProc #LowResourceLanguages. @uaapy #DECSAI @ETSIIT_UGR @CanalUGR alumnus. Applied Researcher at @Fujitsu_Global. Ex @IN3_UOC @univcadiz @BSC_CNS @UDC_gal... | 11 |
Ki_Lebel | - | 3 |
yudith_galeano | Comunicadora de ciencia, esposa y mamá feliz 🥰 | 2 |
alquimpy | Asociación de Licenciados en Ciencias Químicas del Paraguay (ALQUIMPY) Fundada el 21 de agosto 2021 | 2 |
diegomolinaspy | 𝑨𝒃𝒐𝒈𝒂𝒅𝒐. 𝑵𝒐𝒕𝒂𝒓𝒊𝒐 𝒚 𝑬𝒔𝒄𝒓𝒊𝒃𝒂𝒏𝒐 𝑷ú𝒃𝒍𝒊𝒄𝒐. 𝑬𝒔𝒑𝒆𝒄𝒊𝒂𝒍𝒊𝒔𝒕𝒂 𝒆𝒏 𝑮𝒐𝒃𝒆𝒓𝒏𝒂𝒃𝒊𝒍𝒊𝒅𝒂𝒅, 𝑮𝒆𝒓𝒆𝒏𝒄𝒊𝒂 𝑷𝒐𝒍í𝒕𝒊𝒄𝒂 | 2 |
upap_py | #Sumate, acá estamos todos. | 1 |
rsgagro | ahora sólo quiero paz | 1 |
raquelromanpy | Ministra de la Unidad de Gestión (UGPR). Coordinadora General y Jefa del Gabinete Social. Creo en el Paraguay y su gente 🇵🇾 💪 | 1 |
oscarzamendia | Data engineering | AI | ML | BI | Data Warehousing | 1 |
oscarlode | Periodista | Comunicación estratégica | olimpista | Iberis 2015 | Live Forever | 🍖🍺 | 1 |
Tweets per day

Top 10 tweets with highest Retweet count
ID | Text | Retweet count |
---|---|---|
1638849270659907584 | Including our GUA-SPA task on NLP/NER applied to 1) language identification, 2) named entities, 3) Spanish code classification in socialMedia/news texts in Jopará/Guaraní https://t.co/jvufh0BKR8 @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay https://t.co/wlM2UXYuTR https://t.co/iCryiP2XfT | 6 |
1639612507726675968 | Innovadores Públicos, programa de @conacytparaguay y la Unidad de Gestión de @PresidenciaPy, en el marco de la @ENIparaguay, será presentado como uno de los cinco casos de éxito en la Informe de la XXVIII Cumbre Iberoamericana. ¡Seguí la transmisión! https://t.co/oRjLLEXVl7 https://t.co/kU80nmtT6a | 1 |
1639700830503698433 | Esto no hubiese sido posible sin el apoyo de @conacytparaguay @el_BID y @PNUDPARAGUAY | 0 |
1638859936351363074 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay All prompts to #chatGPT used this structure: ``You are NER classifier, please classify this sentence "<sentence>", according this definition: "<task-definition-in-detail>"`` | 0 |
1638850908036681729 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay Task 1: Language identification gn: Guarani token. es: Spanish token. ne: named entity. mix: mixture between Guarani and Spanish. foreign: languages other than Guarani or Spanish. other: invariantS like punctuation, emojis & URLs. | 0 |
1638853539773444097 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay Task 1 example: "Péva, ombotove mbarete odefini situación encuesta rupive." Expected result: 1 Péva gn 2 , other 3 ombotove gn 4 mbarete gn 5 odefini mix 6 situación es-b-ul 7 encuesta es-i-ul 8 rupive gn 9 . other #chatGPT result (almost perfect, missing the number 9 "." other): https://t.co/tr4A9VSX3p | 0 |
1638854344329121793 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay Task 2: Named entity classification Identify the named entities as spans in the text, and classify each with a category: person, location, or organization. Mark tokens using BIO labels: ne-b-per, ne-b-loc, ne-b-org, ne-i-per, ne-i-loc, ne-i-org. | 0 |
1638856520795320327 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay Task 2 example: "Cámara de Diputados omonéî ampliación presupuestaria" Expected result: 1 Cámara ne-b-org 2 de ne-i-org 3 Diputados ne-i-org 4 omonéî 5 ampliación 6 presupuestaria #chatGPT result (perfect): https://t.co/ZojkQuWuJX | 0 |
1638856941253402624 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay Task 3: Spanish code classification Given a text, identify spans of text in Spanish and label them in one of these categories: -change in code (CC): the text keeps all the characteristics of Spanish. ... | 0 |
1638857259600977920 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay ... -unadapted loan (UL): the Spanish text could be partially adapted in some ways to Guarani syntax, but it is not fully merged into Guarani, in particular, it does not present orthographic transformations. Mark tokens using BIO labels: es-b-cc, es-b-ul, es-i-cc, es-i-ul. | 0 |
Top 10 tweets with highest Like count
ID | Text | Like count |
---|---|---|
1638849270659907584 | Including our GUA-SPA task on NLP/NER applied to 1) language identification, 2) named entities, 3) Spanish code classification in socialMedia/news texts in Jopará/Guaraní https://t.co/jvufh0BKR8 @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay https://t.co/wlM2UXYuTR https://t.co/iCryiP2XfT | 9 |
1639612507726675968 | Innovadores Públicos, programa de @conacytparaguay y la Unidad de Gestión de @PresidenciaPy, en el marco de la @ENIparaguay, será presentado como uno de los cinco casos de éxito en la Informe de la XXVIII Cumbre Iberoamericana. ¡Seguí la transmisión! https://t.co/oRjLLEXVl7 https://t.co/kU80nmtT6a | 6 |
1639297758866677764 | @GustavoPatriot4 @JAMPatotero Profesionales calumniadores asaltantes de los fondos de @conacytparaguay son los hdp q te gustan a vos 🤡 https://t.co/A4v6fnDw1d | 2 |
1638903249699733506 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay Another example of task 3 (longer text): Expected vs. #chatGPT (wrong!) https://t.co/MuZxvOQPg8 | 2 |
1638853539773444097 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay Task 1 example: "Péva, ombotove mbarete odefini situación encuesta rupive." Expected result: 1 Péva gn 2 , other 3 ombotove gn 4 mbarete gn 5 odefini mix 6 situación es-b-ul 7 encuesta es-i-ul 8 rupive gn 9 . other #chatGPT result (almost perfect, missing the number 9 "." other): https://t.co/tr4A9VSX3p | 2 |
1637841858259832834 | @conacytparaguay @ParaguayTVHD Exitos Dr. Sos un crack 💪 | 1 |
1639309638842605569 | @rsgagro @GustavoPatriot4 @conacytparaguay Cómo te estas sintiendo ahora, Gustavo..? | 1 |
1639240248776437761 | Invitamos a participar del Ciclo de charlas “Plataformas de apoyo a la investigación”, el cual estará a cargo de profesionales del Centro de Información Científica del @conacytparaguay (CICCO). Inscripciones: https://t.co/1kOIVzcywM. #HACEMOS https://t.co/oa98FrsdwF | 1 |
1638850908036681729 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay Task 1: Language identification gn: Guarani token. es: Spanish token. ne: named entity. mix: mixture between Guarani and Spanish. foreign: languages other than Guarani or Spanish. other: invariantS like punctuation, emojis & URLs. | 1 |
1638857259600977920 | @Miticpy @SPL_Paraguay @SurCiencia @CyT_Diputados @conacytparaguay @PythonParaguay ... -unadapted loan (UL): the Spanish text could be partially adapted in some ways to Guarani syntax, but it is not fully merged into Guarani, in particular, it does not present orthographic transformations. Mark tokens using BIO labels: es-b-cc, es-b-ul, es-i-cc, es-i-ul. | 0 |
Top 3 Languages Used In Tweets

Top 10 Hashtags used
Hashtag | Count |
---|---|
#chatgpt | 6 |
#hacemos | 1 |
Top 10 Hashtags Used In Tweets

Top 10 mentions
Mention | Count |
---|---|
@conacytparaguay | 32 |
@miticpy | 15 |
@spl_paraguay | 15 |
@surciencia | 15 |
@cyt_diputados | 15 |
@pythonparaguay | 15 |
@marvinaguerot | 4 |
@eniparaguay | 3 |
@paraguaytvhd | 3 |
@presidenciapy | 2 |
Top 10 mentions

Wordcloud of Tweets

Emojis
Average number of emojis used per tweet
109
Emojis used in tweets
Emoji | Count | Emoji Text |
---|---|---|
🔗 | 4 | link |
📢 | 4 | loudspeaker |
✅ | 3 | check_mark_button |
🙌 | 2 | raising_hands |
📆 | 2 | tear-off_calendar |
⚠️ | 1 | warning |
👨🏻🔬 | 1 | man_scientist_light_skin_tone |
👩🏽🔬 | 1 | woman_scientist_medium_skin_tone |
🤡 | 1 | clown_face |
🗣 | 1 | speaking_head |
Emojis groups
Emoji Group | Count |
---|---|
Objects | 13 |
People & Body | 10 |
Symbols | 6 |
Travel & Places | 4 |
Smileys & Emotion | 1 |
Flags | 1 |